{
  "dataset": {
    "patient_compositions": [
      {
        "patient": 1,
        "split": "reference",
        "fractions": [
          0.12205,
          0.0216,
          0.02345,
          0.0001,
          0.00665,
          0.82615
        ]
      },
      {
        "patient": 2,
        "split": "reference",
        "fractions": [
          0.0288,
          0.01095,
          0.0223,
          0.00035,
          0.01805,
          0.91955
        ]
      },
      {
        "patient": 3,
        "split": "reference",
        "fractions": [
          0.0848,
          0.0227,
          0.01525,
          0.00015,
          0.0224,
          0.8547
        ]
      },
      {
        "patient": 4,
        "split": "reference",
        "fractions": [
          0.0719,
          0.01205,
          0.02715,
          0.0002,
          0.0115,
          0.8772
        ]
      },
      {
        "patient": 5,
        "split": "test",
        "fractions": [
          0.0522,
          0.0098,
          0.02735,
          0.00015,
          0.0181,
          0.8924
        ]
      },
      {
        "patient": 6,
        "split": "test",
        "fractions": [
          0.02745,
          0.00485,
          0.0307,
          0.00015,
          0.01445,
          0.9224
        ]
      },
      {
        "patient": 7,
        "split": "reference",
        "fractions": [
          0.06295,
          0.00765,
          0.0049,
          0.0,
          0.0077,
          0.9168
        ]
      },
      {
        "patient": 8,
        "split": "test",
        "fractions": [
          0.03055,
          0.0109,
          0.0031,
          5e-05,
          0.00405,
          0.95135
        ]
      },
      {
        "patient": 9,
        "split": "test",
        "fractions": [
          0.0269,
          0.00025,
          0.00875,
          5e-05,
          0.0175,
          0.94655
        ]
      },
      {
        "patient": 10,
        "split": "reference",
        "fractions": [
          0.12895,
          0.08985,
          0.00715,
          0.00025,
          0.00125,
          0.77255
        ]
      },
      {
        "patient": 11,
        "split": "test",
        "fractions": [
          0.02855,
          0.0053,
          0.03395,
          5e-05,
          0.01585,
          0.9163
        ]
      },
      {
        "patient": 12,
        "split": "reference",
        "fractions": [
          0.039,
          0.00315,
          0.01015,
          0.0,
          0.0015,
          0.9462
        ]
      },
      {
        "patient": 13,
        "split": "reference",
        "fractions": [
          0.0546,
          0.00905,
          0.0204,
          0.00055,
          0.00595,
          0.90945
        ]
      },
      {
        "patient": 14,
        "split": "reference",
        "fractions": [
          0.04995,
          0.01295,
          0.00645,
          0.0001,
          0.0045,
          0.92605
        ]
      },
      {
        "patient": 15,
        "split": "test",
        "fractions": [
          0.09335,
          0.0134,
          0.01235,
          5e-05,
          0.0046,
          0.87625
        ]
      },
      {
        "patient": 16,
        "split": "reference",
        "fractions": [
          0.17285,
          0.05015,
          0.0188,
          5e-05,
          0.0095,
          0.74865
        ]
      },
      {
        "patient": 17,
        "split": "reference",
        "fractions": [
          0.038,
          0.03985,
          0.02085,
          0.0003,
          0.01075,
          0.89025
        ]
      },
      {
        "patient": 18,
        "split": "reference",
        "fractions": [
          0.06275,
          0.0066,
          0.0129,
          5e-05,
          0.00755,
          0.91015
        ]
      },
      {
        "patient": 19,
        "split": "reference",
        "fractions": [
          0.02955,
          0.00835,
          0.006,
          5e-05,
          0.00225,
          0.9538
        ]
      },
      {
        "patient": 20,
        "split": "test",
        "fractions": [
          0.0757,
          0.00615,
          0.00855,
          0.0001,
          0.0078,
          0.9017
        ]
      },
      {
        "patient": 21,
        "split": "reference",
        "fractions": [
          0.05585,
          0.0143,
          0.0083,
          0.0,
          0.0085,
          0.91305
        ]
      },
      {
        "patient": 22,
        "split": "reference",
        "fractions": [
          0.04695,
          0.0156,
          0.0057,
          5e-05,
          0.00615,
          0.92555
        ]
      },
      {
        "patient": 23,
        "split": "test",
        "fractions": [
          0.057,
          0.01535,
          0.0086,
          0.0015,
          0.00885,
          0.9087
        ]
      },
      {
        "patient": 24,
        "split": "reference",
        "fractions": [
          0.1112,
          0.00575,
          0.01085,
          5e-05,
          0.00595,
          0.8662
        ]
      },
      {
        "patient": 25,
        "split": "reference",
        "fractions": [
          0.0373,
          0.0006,
          0.01115,
          5e-05,
          0.0041,
          0.9468
        ]
      },
      {
        "patient": 26,
        "split": "reference",
        "fractions": [
          0.1364,
          0.0031,
          0.05245,
          0.00125,
          0.01965,
          0.78715
        ]
      },
      {
        "patient": 27,
        "split": "reference",
        "fractions": [
          0.0386,
          0.0542,
          0.00965,
          0.0,
          0.0035,
          0.89405
        ]
      },
      {
        "patient": 28,
        "split": "test",
        "fractions": [
          0.03035,
          5e-05,
          0.01325,
          0.00015,
          0.0084,
          0.9478
        ]
      },
      {
        "patient": 29,
        "split": "reference",
        "fractions": [
          0.0501,
          0.00345,
          0.0058,
          0.00025,
          0.00495,
          0.93545
        ]
      },
      {
        "patient": 30,
        "split": "test",
        "fractions": [
          0.0918,
          0.00085,
          0.0058,
          0.00015,
          0.0227,
          0.8787
        ]
      }
    ],
    "class_names": [
      "T cells",
      "B cells",
      "monocytes",
      "mast cells",
      "HSPCs",
      "other"
    ]
  },
  "unbinned_classifier_ratio": {
    "target_macro_rmse": 0.001727561297740151,
    "per_class_rmse": [
      0.004090271123132484,
      0.0007698942015708409,
      0.001076376816706719,
      6.582571000038108e-05,
      0.0026354386372903302,
      0.006009546667524047
    ],
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 32
    }
  },
  "score_kmeans:5": {
    "target_macro_rmse": 0.005012321933461951,
    "per_class_rmse": [
      0.0047030750965061695,
      0.0010722259372003935,
      0.0016166824572834632,
      0.0004857983120596448,
      0.017183827864260086,
      0.020021738749008658
    ],
    "held_out_d_efficiency": 0.19539231470716434,
    "minimum_bin_count": 39,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 983
    },
    "validation_d_efficiency": 0.12466408808765168,
    "train_d_efficiency": 0.009591157011282842,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:5": {
    "target_macro_rmse": 0.030002014132350867,
    "per_class_rmse": [
      0.14424367392250045,
      0.0011975498791429683,
      0.0015607616159807212,
      0.000474097927266032,
      0.0025339873168641544,
      0.1443627745382579
    ],
    "held_out_d_efficiency": 0.391104746259858,
    "minimum_bin_count": 39,
    "likelihood_convergence": {
      "converged_patients": 8,
      "total_patients": 10,
      "maximum_iterations": 10000
    },
    "validation_d_efficiency": 0.15874099161456454,
    "train_d_efficiency": 0.15547625793087572,
    "hardening_gap": -6.535957533249093e-07,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:5": {
    "target_macro_rmse": 0.04186310498432869,
    "per_class_rmse": [
      0.034498804618498816,
      0.010169406331215786,
      0.018541966293705223,
      0.037697557940415384,
      0.10840778973780825,
      0.09558639818637663
    ],
    "held_out_d_efficiency": 0.011098832610914919,
    "minimum_bin_count": 17003,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1691
    }
  },
  "one_dimensional_score:5": {
    "target_macro_rmse": 0.018562540772695552,
    "per_class_rmse": [
      0.008478375972758809,
      0.019478777496401173,
      0.01854185545943021,
      0.032688534769435416,
      0.013625160165452154,
      0.010703043302757573
    ],
    "held_out_d_efficiency": 0.006650252827811035,
    "minimum_bin_count": 3886,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1020
    }
  },
  "two_dimensional_grid:5": {
    "target_macro_rmse": 0.13194575604425102,
    "per_class_rmse": [
      0.24271227007787533,
      0.012036015282112872,
      0.34324644559191947,
      0.0004857763197429881,
      0.061248272949604485,
      0.45129933795860694
    ],
    "held_out_d_efficiency": 0.008933714833399886,
    "minimum_bin_count": 8590,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 2385
    }
  },
  "random_score_voronoi:5": {
    "target_macro_rmse_median": 0.02998477877891903,
    "held_out_d_efficiency_median": 0.001406545262889974,
    "repeats": 20
  },
  "score_kmeans:8": {
    "target_macro_rmse": 0.002093732126606461,
    "per_class_rmse": [
      0.0047001022947534025,
      0.0011331069141174547,
      0.001614222930609865,
      0.00026979018315455663,
      0.002751438310397027,
      0.00689221233976048
    ],
    "held_out_d_efficiency": 0.9852758215441055,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 68
    },
    "validation_d_efficiency": 0.9880494734010571,
    "train_d_efficiency": 0.9870496037492189,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:8": {
    "target_macro_rmse": 0.0019285302742885712,
    "per_class_rmse": [
      0.004291915975713046,
      0.0011172524071335127,
      0.0016043595890486808,
      0.0002790001205969658,
      0.00235012327895065,
      0.006396023560089105
    ],
    "held_out_d_efficiency": 0.9846216879860943,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 68
    },
    "validation_d_efficiency": 0.987410698202475,
    "train_d_efficiency": 0.9869060975496863,
    "hardening_gap": -4.580480934990305e-06,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "finite_d_exchange:8": {
    "target_macro_rmse": 0.002093732126606461,
    "per_class_rmse": [
      0.0047001022947534025,
      0.0011331069141174547,
      0.001614222930609865,
      0.00026979018315455663,
      0.002751438310397027,
      0.00689221233976048
    ],
    "held_out_d_efficiency": 0.9852758215441055,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 68
    },
    "finite_assignment_d_efficiency": 0.9870496037492189,
    "compiled_train_d_efficiency": 0.9870496037492189,
    "accepted_moves": 0,
    "exchange_stable": true,
    "best_remaining_gain": -7.154477932895523e-08,
    "compiled_training_labels_reproduced": true,
    "geometry_gap": 0.0,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:8": {
    "target_macro_rmse": 0.028891852157931913,
    "per_class_rmse": [
      0.033454817296106235,
      0.007318053052257466,
      0.011694693509413852,
      0.05517415724969296,
      0.03681753968218905,
      0.06882695337879526
    ],
    "held_out_d_efficiency": 0.07035593206242213,
    "minimum_bin_count": 5131,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 505
    }
  },
  "one_dimensional_score:8": {
    "target_macro_rmse": 0.018087934767159634,
    "per_class_rmse": [
      0.01579737247620696,
      0.015659411809152562,
      0.018541905132032004,
      0.02936820838709813,
      0.011072776031308514,
      0.009685698370523736
    ],
    "held_out_d_efficiency": 0.03780138996527281,
    "minimum_bin_count": 2495,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 739
    }
  },
  "two_dimensional_grid:8": {
    "target_macro_rmse": 0.08332510970683164,
    "per_class_rmse": [
      0.24048491950475936,
      0.008526851707350716,
      0.11349633570973626,
      0.0004857942663034171,
      0.053631647346008476,
      0.27225932061449354
    ],
    "held_out_d_efficiency": 0.022311477389082943,
    "minimum_bin_count": 3223,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1105
    }
  },
  "random_score_voronoi:8": {
    "target_macro_rmse_median": 0.018695362383513416,
    "held_out_d_efficiency_median": 0.015717494882119154,
    "repeats": 20
  },
  "score_kmeans:10": {
    "target_macro_rmse": 0.0020553072178391757,
    "per_class_rmse": [
      0.004581528286160583,
      0.001125113752896155,
      0.0015153199969682519,
      0.0003320188918487487,
      0.0027225551613221416,
      0.006714510683596999
    ],
    "held_out_d_efficiency": 0.9908804167420713,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 90
    },
    "validation_d_efficiency": 0.9928194053407714,
    "train_d_efficiency": 0.9919038886610202,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:10": {
    "target_macro_rmse": 0.002023223825027861,
    "per_class_rmse": [
      0.004603961353440959,
      0.0011896917084315824,
      0.0015128821341661687,
      0.0003326800637153187,
      0.0024769038653852764,
      0.00660743844774334
    ],
    "held_out_d_efficiency": 0.9903122386755577,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 89
    },
    "validation_d_efficiency": 0.9923075967819691,
    "train_d_efficiency": 0.9911105986609103,
    "hardening_gap": 2.4158087160719433e-06,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:10": {
    "target_macro_rmse": 0.047581831179146224,
    "per_class_rmse": [
      0.032502997543739844,
      0.0070820664052650235,
      0.012353270345987374,
      0.12180568979894707,
      0.06416513180179181,
      0.13356846934314373
    ],
    "held_out_d_efficiency": 0.08713316634961982,
    "minimum_bin_count": 4994,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 265
    }
  },
  "one_dimensional_score:10": {
    "target_macro_rmse": 0.01653703744022444,
    "per_class_rmse": [
      0.012042065807671658,
      0.011095383486920754,
      0.018541852985111865,
      0.031597674577287974,
      0.009408210344129964,
      0.01103818741130407
    ],
    "held_out_d_efficiency": 0.053524837040013325,
    "minimum_bin_count": 1830,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1937
    }
  },
  "two_dimensional_grid:10": {
    "target_macro_rmse": 0.07304430429125539,
    "per_class_rmse": [
      0.23674083144182526,
      0.008404261431116776,
      0.06781453380465804,
      0.000485790397797611,
      0.05177610438087927,
      0.25153734009865275
    ],
    "held_out_d_efficiency": 0.026401569036457177,
    "minimum_bin_count": 1748,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 3662
    }
  },
  "random_score_voronoi:10": {
    "target_macro_rmse_median": 0.011471940690290727,
    "held_out_d_efficiency_median": 0.06028705937423165,
    "repeats": 20
  },
  "score_kmeans:15": {
    "target_macro_rmse": 0.0021691728816209273,
    "per_class_rmse": [
      0.0049231579497174185,
      0.0010545691131447477,
      0.0016095596449343151,
      0.0004856924153820384,
      0.0027728852849261162,
      0.006405006914330116
    ],
    "held_out_d_efficiency": 0.9956872272235627,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 214
    },
    "validation_d_efficiency": 0.9965875382787914,
    "train_d_efficiency": 0.9963505179529191,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:15": {
    "target_macro_rmse": 0.0020377155420899374,
    "per_class_rmse": [
      0.004247683496379646,
      0.001065237622897066,
      0.0016042743141449283,
      0.0004857148995305633,
      0.0027856673774974846,
      0.005902928915122046
    ],
    "held_out_d_efficiency": 0.9951645284088496,
    "minimum_bin_count": 6,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 185
    },
    "validation_d_efficiency": 0.996277097717329,
    "train_d_efficiency": 0.9959833698823349,
    "hardening_gap": 3.902283806311857e-06,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:15": {
    "target_macro_rmse": 0.0333158205009479,
    "per_class_rmse": [
      0.03364165180370405,
      0.006334740563525597,
      0.007754563529253005,
      0.08228995886844921,
      0.0365581877398076,
      0.08788052402390614
    ],
    "held_out_d_efficiency": 0.13145173129463866,
    "minimum_bin_count": 1790,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 654
    }
  },
  "one_dimensional_score:15": {
    "target_macro_rmse": 0.010396731595511606,
    "per_class_rmse": [
      0.011521777029255557,
      0.01282119865057657,
      0.009696511618166061,
      0.007419708847118343,
      0.010524461832441498,
      0.009275900295288034
    ],
    "held_out_d_efficiency": 0.10823553847287073,
    "minimum_bin_count": 1009,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 877
    }
  },
  "two_dimensional_grid:15": {
    "target_macro_rmse": 0.06704398748915899,
    "per_class_rmse": [
      0.23222426566436907,
      0.007947876162109563,
      0.04017901377313719,
      0.01260568402600542,
      0.042263097820173706,
      0.2509817381516774
    ],
    "held_out_d_efficiency": 0.05231839533688752,
    "minimum_bin_count": 991,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 561
    }
  },
  "random_score_voronoi:15": {
    "target_macro_rmse_median": 0.010455900723618013,
    "held_out_d_efficiency_median": 0.09940309228077224,
    "repeats": 20
  },
  "score_kmeans:20": {
    "target_macro_rmse": 0.0024343498344470914,
    "per_class_rmse": [
      0.0058037335921071785,
      0.001020830138444931,
      0.0017306168457024904,
      0.00048577429299058146,
      0.0031307943029902766,
      0.006531121829969206
    ],
    "held_out_d_efficiency": 0.9971680196524311,
    "minimum_bin_count": 1,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 157
    },
    "validation_d_efficiency": 0.9979868811989686,
    "train_d_efficiency": 0.9978475568079357,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:20": {
    "target_macro_rmse": 0.0021183343530546293,
    "per_class_rmse": [
      0.004132812317206189,
      0.0010713722999308312,
      0.0017360566689962771,
      0.0004857801638551615,
      0.003165650315284688,
      0.006301471934270812
    ],
    "held_out_d_efficiency": 0.99634279767851,
    "minimum_bin_count": 0,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 86
    },
    "validation_d_efficiency": 0.9971314729829134,
    "train_d_efficiency": 0.9973545805985355,
    "hardening_gap": -3.8223803644488186e-06,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:20": {
    "target_macro_rmse": 0.03219967042444199,
    "per_class_rmse": [
      0.033173891227554396,
      0.007672210893107948,
      0.008010353698670656,
      0.08786134980769289,
      0.024280546495184054,
      0.08456190198674302
    ],
    "held_out_d_efficiency": 0.15131520700443038,
    "minimum_bin_count": 816,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1062
    }
  },
  "one_dimensional_score:20": {
    "target_macro_rmse": 0.010516001660163648,
    "per_class_rmse": [
      0.010701716656915881,
      0.009996915906930783,
      0.0076968102147515465,
      0.01383455175314096,
      0.01035001376907907,
      0.009582403884053384
    ],
    "held_out_d_efficiency": 0.12146340360402931,
    "minimum_bin_count": 825,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 2283
    }
  },
  "two_dimensional_grid:20": {
    "target_macro_rmse": 0.06368795806385456,
    "per_class_rmse": [
      0.2241591056321495,
      0.007832990418452413,
      0.025054832221287415,
      0.008242293823397884,
      0.053150568223985645,
      0.23950490036764582
    ],
    "held_out_d_efficiency": 0.07412836239508482,
    "minimum_bin_count": 654,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 1301
    }
  },
  "random_score_voronoi:20": {
    "target_macro_rmse_median": 0.007304762857874172,
    "held_out_d_efficiency_median": 0.25960009419311547,
    "repeats": 20
  },
  "score_kmeans:30": {
    "target_macro_rmse": 0.0028021282890382617,
    "per_class_rmse": [
      0.00597943027160072,
      0.0009781267736816398,
      0.002154397559401107,
      0.001340281341172444,
      0.0035584054993353974,
      0.006649197314130145
    ],
    "held_out_d_efficiency": 0.9985754615633414,
    "minimum_bin_count": 1,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 286
    },
    "validation_d_efficiency": 0.9992170659229342,
    "train_d_efficiency": 0.9990780229027569,
    "hardening_gap": null,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "soft_voronoi:30": {
    "target_macro_rmse": 0.002600358348403994,
    "per_class_rmse": [
      0.005679764213760164,
      0.0011063694961837476,
      0.0020966409216451637,
      0.0004857626073779763,
      0.0036332545030529177,
      0.007272595652696711
    ],
    "held_out_d_efficiency": 0.9984033208847412,
    "minimum_bin_count": 0,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 584
    },
    "validation_d_efficiency": 0.9992202653257651,
    "train_d_efficiency": 0.9990180721423729,
    "hardening_gap": -1.5730998550456121e-06,
    "information_kind": "supplied_score_surrogate",
    "score_provenance": {
      "kind": "estimated_ratio",
      "description": "patient-cross-fitted calibrated FlowCyt mixture score",
      "reference_point": null,
      "metadata": {},
      "exact_fisher": false,
      "ratio": {
        "estimator": "calibrated_classifier",
        "parameterization": "mixture",
        "coefficients": null,
        "reference_fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "reference_component": 5,
        "training_priors": [
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666,
          0.16666666666666666
        ],
        "calibration": "raw_declared_prior",
        "deltas": null
      }
    }
  },
  "marker_kmeans:30": {
    "target_macro_rmse": 0.049900775931123735,
    "per_class_rmse": [
      0.0274215332079649,
      0.006265318607811024,
      0.007987724634437155,
      0.19062437839360197,
      0.017204924811803645,
      0.18124847929470375
    ],
    "held_out_d_efficiency": 0.16152374941216482,
    "minimum_bin_count": 758,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 2371
    }
  },
  "one_dimensional_score:30": {
    "target_macro_rmse": 0.013753233766568751,
    "per_class_rmse": [
      0.01434183650570712,
      0.013282970256874428,
      0.007516202967257059,
      0.02425247364288421,
      0.009372685460120926,
      0.00938003987965807
    ],
    "held_out_d_efficiency": 0.14533794475446685,
    "minimum_bin_count": 196,
    "likelihood_convergence": {
      "converged_patients": 9,
      "total_patients": 10,
      "maximum_iterations": 10000
    }
  },
  "two_dimensional_grid:30": {
    "target_macro_rmse": 0.062011452341553266,
    "per_class_rmse": [
      0.2100462197274984,
      0.008583912159945918,
      0.02211466973704233,
      0.02114681334646399,
      0.048165646736815684,
      0.23245191747599328
    ],
    "held_out_d_efficiency": 0.08466171231928628,
    "minimum_bin_count": 161,
    "likelihood_convergence": {
      "converged_patients": 10,
      "total_patients": 10,
      "maximum_iterations": 333
    }
  },
  "random_score_voronoi:30": {
    "target_macro_rmse_median": 0.006968912342072407,
    "held_out_d_efficiency_median": 0.323806972583351,
    "repeats": 20
  },
  "calibration": {
    "balanced_log_loss": 0.2680172062239312,
    "balanced_brier_score": 0.10124372179887237,
    "balanced_accuracy": 0.9448927168524215,
    "expected_calibration_error": 0.046231557978584574,
    "reliability_bins": [
      {
        "lower": 0.0,
        "upper": 0.1,
        "weight": 0.0,
        "mean_confidence": null,
        "accuracy": null
      },
      {
        "lower": 0.1,
        "upper": 0.2,
        "weight": 0.0,
        "mean_confidence": null,
        "accuracy": null
      },
      {
        "lower": 0.2,
        "upper": 0.30000000000000004,
        "weight": 5.56557358801398e-07,
        "mean_confidence": 0.274368599856362,
        "accuracy": 0.0
      },
      {
        "lower": 0.30000000000000004,
        "upper": 0.4,
        "weight": 1.4749886401017729e-06,
        "mean_confidence": 0.38166520460681164,
        "accuracy": 0.31061416386113794
      },
      {
        "lower": 0.4,
        "upper": 0.5,
        "weight": 0.00038328340546620585,
        "mean_confidence": 0.47156557748466166,
        "accuracy": 0.3921207109853433
      },
      {
        "lower": 0.5,
        "upper": 0.6000000000000001,
        "weight": 0.004039487055145307,
        "mean_confidence": 0.5501118848535175,
        "accuracy": 0.4635698013699743
      },
      {
        "lower": 0.6000000000000001,
        "upper": 0.7000000000000001,
        "weight": 0.00393108856658639,
        "mean_confidence": 0.6523097755827121,
        "accuracy": 0.5561069673513047
      },
      {
        "lower": 0.7000000000000001,
        "upper": 0.8,
        "weight": 0.007146450230572136,
        "mean_confidence": 0.757598379883599,
        "accuracy": 0.5016795202628328
      },
      {
        "lower": 0.8,
        "upper": 0.9,
        "weight": 0.007845585851262988,
        "mean_confidence": 0.8577840235428995,
        "accuracy": 0.7448787209493555
      },
      {
        "lower": 0.9,
        "upper": 1.0,
        "weight": 0.9766520733449681,
        "mean_confidence": 0.997297223695409,
        "accuracy": 0.9535166751030674
      }
    ]
  },
  "calibration_selection": {
    "candidate_order": [
      "raw_declared_prior",
      "raw_oof_prior",
      "temperature_oof_prior"
    ],
    "selected_strategy": "raw_declared_prior",
    "tie_tolerance": 1e-06,
    "candidates": {
      "raw_declared_prior": {
        "target_macro_rmse": 0.0029817045405617806,
        "per_class_rmse": [
          0.006513578180662642,
          0.0031815014752698337,
          0.0036081166059268198,
          6.69412387317906e-05,
          0.0015383852022178182,
          0.010227239447781452
        ],
        "mean_bias": [
          0.0017228527598049804,
          0.000749890056403878,
          0.0008949589636523217,
          -3.441153127994007e-05,
          6.551125692520502e-05,
          -0.0033988015055059937
        ]
      },
      "raw_oof_prior": {
        "target_macro_rmse": 0.0030796666391572124,
        "per_class_rmse": [
          0.006664067576969036,
          0.003382299555505563,
          0.0037136563323202135,
          5.726564373508361e-05,
          0.0015810440872561665,
          0.010770530266753392
        ],
        "mean_bias": [
          0.002157294641310709,
          0.0010189486479259815,
          0.0010502520371727506,
          -2.9950914875974155e-05,
          0.00018617929061282316,
          -0.004382723702145985
        ]
      },
      "temperature_oof_prior": {
        "target_macro_rmse": 0.011220091013104783,
        "per_class_rmse": [
          0.028745969537965543,
          0.010971679489427455,
          0.007917000515609894,
          0.0003391164991562634,
          0.00812668902336475,
          0.05266320376446232
        ],
        "mean_bias": [
          -0.0262371679223364,
          -0.009748210244535774,
          -0.00761734811912781,
          -0.00018999999999999996,
          -0.007137992429466983,
          0.05093071871546695
        ]
      }
    },
    "outer_folds": [
      {
        "held_out_patients": [
          4,
          17,
          27,
          21
        ],
        "raw_declared_prior": {
          "target_macro_rmse": 0.00209059696698993,
          "per_class_rmse": [
            0.004172321805994538,
            0.002833560194396288,
            0.0019488199387814882,
            1.1119517315256363e-05,
            0.001487163378462081,
            0.0042221559976986425
          ],
          "mean_bias": [
            0.0012772957790404913,
            0.0019402687297508147,
            -0.0013538200874455323,
            -6.805022293818071e-06,
            -0.0008309362395028832,
            -0.0010260031595487606
          ]
        },
        "raw_oof_prior": {
          "target_macro_rmse": 0.002176267761303215,
          "per_class_rmse": [
            0.004335858829556181,
            0.0033831425861151174,
            0.0017274332018817134,
            7.592899291004351e-06,
            0.0014273112896720595,
            0.005079606152221696
          ],
          "mean_bias": [
            0.0017458198886301287,
            0.002414825910628012,
            -0.0011079154492194692,
            -4.524287225474829e-06,
            -0.0006125507973131401,
            -0.00243565526549952
          ]
        },
        "temperature_oof_prior": {
          "target_macro_rmse": 0.011468438571704456,
          "per_class_rmse": [
            0.024329985435370544,
            0.01465187841153891,
            0.009065417849078744,
            0.00018027756377319944,
            0.009114633598760876,
            0.05662203636626708
          ],
          "mean_bias": [
            -0.02356861823659808,
            -0.014449767554547287,
            -0.009021612993457218,
            -0.000125,
            -0.008562430201519694,
            0.05572742898612315
          ]
        }
      },
      {
        "held_out_patients": [
          22,
          24,
          10,
          13
        ],
        "raw_declared_prior": {
          "target_macro_rmse": 0.004049391913536414,
          "per_class_rmse": [
            0.013580446551049641,
            0.00420659033917735,
            0.0010351072086752647,
            5.7033734234069744e-05,
            0.0013677817345457426,
            0.017694799731743618
          ],
          "mean_bias": [
            0.006913784750391224,
            0.0023329793573269968,
            -0.0006476998153878756,
            -3.88277678731261e-05,
            -0.00010625601476693501,
            -0.008453980509690456
          ]
        },
        "raw_oof_prior": {
          "target_macro_rmse": 0.004143046529150502,
          "per_class_rmse": [
            0.01381610839805884,
            0.004491391023434198,
            0.0009908781394701725,
            5.503218759372656e-05,
            0.0013618228971955747,
            0.018264066776879098
          ],
          "mean_bias": [
            0.007216874999575981,
            0.0026082410577985926,
            -0.0005624261371706531,
            -3.750771620475602e-05,
            -3.0449036390348464e-05,
            -0.009194733167607688
          ]
        },
        "temperature_oof_prior": {
          "target_macro_rmse": 0.007840433641976518,
          "per_class_rmse": [
            0.016721766017977382,
            0.009642990234805074,
            0.007284806806042547,
            0.000304138126514911,
            0.005248467024542668,
            0.03572409317959638
          ],
          "mean_bias": [
            -0.010703607390614676,
            -0.009219105798241296,
            -0.0071514325499926045,
            -0.00022500000000000002,
            -0.004824911042631787,
            0.03212405678148117
          ]
        }
      },
      {
        "held_out_patients": [
          18,
          19,
          25,
          29
        ],
        "raw_declared_prior": {
          "target_macro_rmse": 0.0006658790605522131,
          "per_class_rmse": [
            0.0017194260367525177,
            0.00040248163848997855,
            0.0003493780973932558,
            2.58202653874459e-05,
            0.0008322892647378677,
            0.0029583594979101773
          ],
          "mean_bias": [
            -3.7152166519068e-05,
            -0.00016986764840027486,
            -3.410436639758618e-05,
            -1.6215850115638373e-05,
            -0.00034747059919223457,
            0.000604810630624314
          ]
        },
        "raw_oof_prior": {
          "target_macro_rmse": 0.0006889917587506298,
          "per_class_rmse": [
            0.0018198865956626426,
            0.00042354651891132717,
            0.0003585586837897011,
            2.5412345157673533e-05,
            0.0008175546502318048,
            0.003014188537570389
          ],
          "mean_bias": [
            0.00038407954048943517,
            -4.5089985819348735e-05,
            5.445377171098406e-05,
            -1.5113614497229743e-05,
            -0.0003008743351011747,
            -7.74553767822761e-05
          ]
        },
        "temperature_oof_prior": {
          "target_macro_rmse": 0.010757323917226988,
          "per_class_rmse": [
            0.033940960683281486,
            0.0056023432597440866,
            0.009027291754732146,
            0.00013228756555322952,
            0.005083736322823992,
            0.05247377906537908
          ],
          "mean_bias": [
            -0.03376317538415324,
            -0.00475,
            -0.008609840995464035,
            -0.0001,
            -0.0047125,
            0.05193551637961724
          ]
        }
      },
      {
        "held_out_patients": [
          26,
          7,
          2,
          12
        ],
        "raw_declared_prior": {
          "target_macro_rmse": 0.002424472945160003,
          "per_class_rmse": [
            0.0019823878363360533,
            0.0004526884077675094,
            0.007005759651245342,
            0.0001290483420013904,
            0.002552480488449721,
            0.010591270546851305
          ],
          "mean_bias": [
            -0.00017654214113276348,
            -0.0003011196517204575,
            0.0043279991491720305,
            -7.979835004952567e-05,
            0.001740595842811421,
            -0.005511134849079058
          ]
        },
        "raw_oof_prior": {
          "target_macro_rmse": 0.002526345319650329,
          "per_class_rmse": [
            0.0021029782047319078,
            0.000410123406795427,
            0.007295465257043268,
            0.00010517425339563089,
            0.0027179854762854117,
            0.01150446559283911
          ],
          "mean_bias": [
            0.0003320197981108398,
            -0.0001219591138305415,
            0.004575513470856966,
            -6.60564479414019e-05,
            0.0018660609281032875,
            -0.006585578635300571
          ]
        },
        "temperature_oof_prior": {
          "target_macro_rmse": 0.01269585014378013,
          "per_class_rmse": [
            0.03708861417124116,
            0.007034868513341241,
            0.007504155810270584,
            0.0006490377492873585,
            0.011202574474760309,
            0.06017789201129889
          ],
          "mean_bias": [
            -0.036748352371941954,
            -0.006212499999999999,
            -0.006990627735273073,
            -0.0004,
            -0.00970871937626715,
            0.060060199483480486
          ]
        }
      },
      {
        "held_out_patients": [
          1,
          14,
          3,
          16
        ],
        "raw_declared_prior": {
          "target_macro_rmse": 0.0021792262985220203,
          "per_class_rmse": [
            0.001846731807765544,
            0.004951603201483802,
            0.003319705977436136,
            4.134000520972578e-05,
            0.0007367505007148948,
            0.008433427066169088
          ],
          "mean_bias": [
            0.0006368775772450184,
            -5.2810504937688156e-05,
            0.0021824199383205724,
            -3.0410666067592118e-05,
            -0.00012837670472334308,
            -0.0026076996398360086
          ]
        },
        "raw_oof_prior": {
          "target_macro_rmse": 0.0022737542740892047,
          "per_class_rmse": [
            0.0021517331955071676,
            0.005023336686905555,
            0.0034114475186085647,
            4.0039544293511264e-05,
            0.0007422144251312243,
            0.008899720002698262
          ],
          "mean_bias": [
            0.001107678979747161,
            0.00023872537085319252,
            0.0022916345296859256,
            -2.6552508511008284e-05,
            8.709693765491643e-06,
            -0.0036201960655398713
          ]
        },
        "temperature_oof_prior": {
          "target_macro_rmse": 0.01127812613550626,
          "per_class_rmse": [
            0.0270653664319484,
            0.014606448145889177,
            0.006351371819631144,
            0.00010606601717798212,
            0.008261378262884594,
            0.05486276644130577
          ],
          "mean_bias": [
            -0.02640208622837406,
            -0.014109677869890307,
            -0.006313226321452118,
            -0.0001,
            -0.007881401526916281,
            0.0548063919466327
          ]
        }
      }
    ],
    "final_calibration": {
      "strategy": "raw_declared_prior",
      "temperature": 1.0,
      "class_priors": [
        0.16666666666666666,
        0.16666666666666666,
        0.16666666666666666,
        0.16666666666666666,
        0.16666666666666666,
        0.16666666666666666
      ],
      "ratio_normalizers": [
        1.001593283076812,
        0.9698289234107081,
        0.9879407123810905,
        0.7830777694678989,
        1.0640195899948077,
        1.1935397216686086
      ],
      "maximum_normalization_residual": 0.21692223053210113
    }
  },
  "operating_partition": {
    "n_bins": 8,
    "reference_bin_composition": [
      [
        0.0009642879275578717,
        0.0015567047956641113,
        0.0013437151571402792,
        2.091062835731458e-05,
        0.0007044626780025637,
        0.9954099188132779
      ],
      [
        0.006745031958954974,
        0.8616442514269942,
        0.007994247579925878,
        0.0008465874918836433,
        0.00874862230744606,
        0.1140212592347951
      ],
      [
        0.1467986414487525,
        0.30759023942744934,
        0.15444288791051855,
        0.08104736401813989,
        0.18199097805359715,
        0.1281298891415425
      ],
      [
        0.016724776438103536,
        0.03717930329746716,
        0.018440261165701684,
        0.002099172638945126,
        0.7840576810096092,
        0.14149880545017338
      ],
      [
        0.15864408696084967,
        0.33241024719613665,
        0.16690516137177286,
        0.025731604109515503,
        0.19178782369466724,
        0.12452107666705799
      ],
      [
        0.008291118966834434,
        0.03453590293402532,
        0.8408541178626107,
        0.0010406411198278095,
        0.01113520227458629,
        0.10414301684211552
      ],
      [
        0.9362755919674091,
        0.003609223084349689,
        0.001812212368304854,
        0.00021619768958467024,
        0.0021295098070649968,
        0.05595726508328679
      ],
      [
        0.05644081223848358,
        0.11826160500249241,
        0.0593798549639154,
        0.007084041404639462,
        0.3061252126481909,
        0.45270847374227824
      ]
    ]
  },
  "shift": {
    "median_absolute_standardized_marker_shift": 0.12264254544149139,
    "maximum_absolute_standardized_marker_shift": 0.22453459285500513,
    "score_mean_shift_norm": 0.808969388659492
  },
  "patients": [
    {
      "patient": 5,
      "true_fractions": [
        0.0522,
        0.0098,
        0.02735,
        0.00015,
        0.0181,
        0.8924
      ],
      "soft_voronoi_fractions": [
        0.04863611180084373,
        0.008528812238578582,
        0.028463187253454356,
        1.1024043177595946e-08,
        0.018863302029881117,
        0.8955085756531993
      ],
      "unbinned_classifier_ratio_fractions": [
        0.05187870779702727,
        0.009466641472415646,
        0.027795542575758458,
        0.0001477703805301318,
        0.017800950196693886,
        0.8929103875775761
      ]
    },
    {
      "patient": 6,
      "true_fractions": [
        0.02745,
        0.00485,
        0.0307,
        0.00015,
        0.01445,
        0.9224
      ],
      "soft_voronoi_fractions": [
        0.023158260989882197,
        0.005650490785451857,
        0.028426041695945047,
        7.763515544367634e-09,
        0.014379949622927117,
        0.9283852491422786
      ],
      "unbinned_classifier_ratio_fractions": [
        0.026859533595262348,
        0.006379313401745912,
        0.027737275076075332,
        9.012688503220849e-05,
        0.013634578844128435,
        0.9252991721977509
      ]
    },
    {
      "patient": 8,
      "true_fractions": [
        0.03055,
        0.0109,
        0.0031,
        5e-05,
        0.00405,
        0.95135
      ],
      "soft_voronoi_fractions": [
        0.026822680180928562,
        0.010386129106186593,
        0.0008683283385585385,
        1.1267518977168814e-13,
        0.0026776747061778307,
        0.9592451876680359
      ],
      "unbinned_classifier_ratio_fractions": [
        0.028805346548835677,
        0.0105641890610448,
        0.0025663760057689565,
        4.445099078475909e-05,
        0.00332985411397029,
        0.9546897832795934
      ]
    },
    {
      "patient": 9,
      "true_fractions": [
        0.0269,
        0.00025,
        0.00875,
        5e-05,
        0.0175,
        0.94655
      ],
      "soft_voronoi_fractions": [
        0.022624653491694385,
        2.03588711839144e-14,
        0.008840198954812889,
        8.108575647647998e-09,
        0.01478069123307467,
        0.9537544482118221
      ],
      "unbinned_classifier_ratio_fractions": [
        0.02253320175594427,
        4.079653528149684e-05,
        0.009125690735281555,
        4.474171469400271e-05,
        0.013670009749875015,
        0.9545855595089205
      ]
    },
    {
      "patient": 11,
      "true_fractions": [
        0.02855,
        0.0053,
        0.03395,
        5e-05,
        0.01585,
        0.9163
      ],
      "soft_voronoi_fractions": [
        0.024999749304560455,
        0.003707584142565362,
        0.03701313093021222,
        6.296290199204773e-09,
        0.011590553181050426,
        0.9226889761453216
      ],
      "unbinned_classifier_ratio_fractions": [
        0.02620634219505795,
        0.004959532463830325,
        0.034831883538850035,
        2.616810377495778e-21,
        0.011052916962776141,
        0.9229493248394846
      ]
    },
    {
      "patient": 15,
      "true_fractions": [
        0.09335,
        0.0134,
        0.01235,
        5e-05,
        0.0046,
        0.87625
      ],
      "soft_voronoi_fractions": [
        0.09483493832108941,
        0.011373951685935649,
        0.011787789714331724,
        3.3075874318458065e-09,
        0.0031616886981520975,
        0.8788416282729037
      ],
      "unbinned_classifier_ratio_fractions": [
        0.09562273608739781,
        0.011955410729280577,
        0.012177821950055597,
        2.6243835686195338e-36,
        0.003796173853198715,
        0.8764478573800684
      ]
    },
    {
      "patient": 20,
      "true_fractions": [
        0.0757,
        0.00615,
        0.00855,
        0.0001,
        0.0078,
        0.9017
      ],
      "soft_voronoi_fractions": [
        0.07096816879472063,
        0.004762923340563872,
        0.007985606811399775,
        8.072102954314905e-09,
        0.009356363159759094,
        0.9069269298214536
      ],
      "unbinned_classifier_ratio_fractions": [
        0.07148648815145968,
        0.0051458917177841035,
        0.008651076351043497,
        4.433979101795763e-05,
        0.009176203760225909,
        0.9054960002284707
      ]
    },
    {
      "patient": 23,
      "true_fractions": [
        0.057,
        0.01535,
        0.0086,
        0.0015,
        0.00885,
        0.9087
      ],
      "soft_voronoi_fractions": [
        0.05413094492489728,
        0.01613084318355085,
        0.006968373245512483,
        0.0006824291171387866,
        0.008287449644389901,
        0.9137999598845105
      ],
      "unbinned_classifier_ratio_fractions": [
        0.05673482791363942,
        0.01565337359943904,
        0.008106258092778124,
        0.001431556724123581,
        0.008374911265601507,
        0.9096990724044223
      ]
    },
    {
      "patient": 28,
      "true_fractions": [
        0.03035,
        5e-05,
        0.01325,
        0.00015,
        0.0084,
        0.9478
      ],
      "soft_voronoi_fractions": [
        0.030295638400244365,
        4.897276905038348e-21,
        0.013715291029532194,
        8.180188849449593e-09,
        0.0036854321071152804,
        0.9523036302829192
      ],
      "unbinned_classifier_ratio_fractions": [
        0.030738220733175246,
        4.035821788012271e-31,
        0.013760882699226956,
        8.367128881573343e-05,
        0.003759873948278247,
        0.9516573513305074
      ]
    },
    {
      "patient": 30,
      "true_fractions": [
        0.0918,
        0.00085,
        0.0058,
        0.00015,
        0.0227,
        0.8787
      ],
      "soft_voronoi_fractions": [
        0.08311209903265654,
        5.616409415859798e-08,
        0.004597902814425698,
        1.1252474332548822e-20,
        0.02226660165227252,
        0.8900233403365508
      ],
      "unbinned_classifier_ratio_fractions": [
        0.08102476070413821,
        0.0009740284788453172,
        0.004871903685521063,
        8.591584557770129e-19,
        0.020209009787589015,
        0.8929202973439114
      ]
    }
  ],
  "acceptance": {
    "rows": [
      {
        "n_bins": 5,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      },
      {
        "n_bins": 8,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      },
      {
        "n_bins": 10,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      },
      {
        "n_bins": 15,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      },
      {
        "n_bins": 20,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      },
      {
        "n_bins": 30,
        "beats_random_d_efficiency": true,
        "no_worse_than_marker_rmse": true
      }
    ],
    "random_d_efficiency_wins": 6,
    "marker_rmse_noninferiority_wins": 6,
    "required_random_wins": 5,
    "required_marker_wins": 4
  },
  "scientific_closure": {
    "reference_only": true,
    "ratio_model": {
      "selected_strategy": "raw_declared_prior",
      "strategies": {
        "raw_declared_prior": {
          "class_priors": [
            0.16666666666666666,
            0.16666666666666666,
            0.16666666666666666,
            0.16666666666666666,
            0.16666666666666666,
            0.16666666666666666
          ],
          "temperature": 1.0,
          "component_ratio_normalizers": [
            1.0015932830768122,
            0.9698289234107081,
            0.9879407123810905,
            0.783077769467899,
            1.0640195899948077,
            1.1935397216686086
          ],
          "maximum_normalization_residual": 0.21692223053210102,
          "mean_score": [
            0.02646181084707626,
            -0.002284069926721998,
            0.032980615811880734,
            -0.17268246264242262,
            -0.003205657120845977
          ],
          "mean_score_norm": 0.17782765412020593,
          "patient_residual_count": 16,
          "patient_residual_median": 0.09347013263439707,
          "patient_residual_maximum": 1.0152913422254048
        },
        "raw_oof_prior": {
          "class_priors": [
            0.16693221384613702,
            0.1616381539017962,
            0.1646567853968458,
            0.13051296157798167,
            0.17733659833246646,
            0.19892328694477293
          ],
          "temperature": 1.0,
          "component_ratio_normalizers": [
            0.9999999999999565,
            0.9999999999998838,
            1.000000000000127,
            0.9999999999999993,
            1.000000000000041,
            0.9999999999999887
          ],
          "maximum_normalization_residual": 1.270095140171179e-13,
          "mean_score": [
            0.033439938609509515,
            0.013387759010128687,
            0.043958965323055675,
            -0.15097500470065464,
            0.009086163908637968
          ],
          "mean_score_norm": 0.1615730876004169,
          "patient_residual_count": 16,
          "patient_residual_median": 0.27701873275498967,
          "patient_residual_maximum": 0.9960570651865599
        },
        "temperature_oof_prior": {
          "class_priors": [
            0.1630576458377343,
            0.1588324190556861,
            0.1611173780119714,
            0.13258149253831902,
            0.1713935020353686,
            0.21301756252092066
          ],
          "temperature": 2.0392280269974843,
          "component_ratio_normalizers": [
            1.000000000000034,
            1.0000000000000133,
            0.9999999999999921,
            1.0000000000000144,
            0.9999999999999696,
            0.9999999999999942
          ],
          "maximum_normalization_residual": 3.397282455352979e-14,
          "mean_score": [
            -0.23087757802361353,
            -0.4458284776684564,
            -0.366052745566084,
            -0.8733709225020224,
            -0.5940636534292998
          ],
          "mean_score_norm": 1.2254592986584631,
          "patient_residual_count": 16,
          "patient_residual_median": 0.258426354356719,
          "patient_residual_maximum": 0.9284853793728289
        }
      }
    },
    "fixed_total_information": {
      "score_kmeans:5": {
        "full_rank": 5,
        "retained_rank": 4,
        "rank_bound": 4,
        "retained_eigenvalues": [
          1.1099034343128368e-16,
          0.9773476103688615,
          0.9830878991198949,
          0.9846715158484953,
          0.9924520933150159
        ],
        "d_efficiency": 0.0,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 0.1142424131231364
      },
      "score_kmeans:6": {
        "full_rank": 5,
        "retained_rank": 5,
        "rank_bound": 5,
        "retained_eigenvalues": [
          0.9631212452248462,
          0.9773495094384402,
          0.9830976473505146,
          0.9846746168268078,
          0.9924535820317862
        ],
        "d_efficiency": 0.9800903047005485,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 0.11421764172309821
      },
      "score_kmeans:8": {
        "full_rank": 5,
        "retained_rank": 5,
        "rank_bound": 5,
        "retained_eigenvalues": [
          0.977340449961301,
          0.984667115537829,
          0.9884502891306564,
          0.9924601645975519,
          0.9974462930173846
        ],
        "d_efficiency": 0.9880491504177784,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 0.11416831719753678
      },
      "soft_voronoi:5": {
        "full_rank": 5,
        "retained_rank": 4,
        "rank_bound": 4,
        "retained_eigenvalues": [
          0.0,
          0.9626345550039814,
          0.9773653781393764,
          0.9831441399897306,
          0.9839891839168585
        ],
        "d_efficiency": 0.0,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 1.0350933914668876
      },
      "soft_voronoi:6": {
        "full_rank": 5,
        "retained_rank": 5,
        "rank_bound": 5,
        "retained_eigenvalues": [
          0.9627720804312094,
          0.9773414511341167,
          0.9830958064433295,
          0.9846729109272436,
          0.9922673358744063
        ],
        "d_efficiency": 0.9799801231830774,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 0.11707308384446057
      },
      "soft_voronoi:8": {
        "full_rank": 5,
        "retained_rank": 5,
        "rank_bound": 5,
        "retained_eigenvalues": [
          0.9773041295905793,
          0.9845677702281221,
          0.9856442031790356,
          0.992201716257104,
          0.9974539952030445
        ],
        "d_efficiency": 0.9874103469462643,
        "mean_score": [
          0.04112798732469453,
          -0.019651406710986304,
          0.021984808368725163,
          -0.3587800166737015,
          -0.0579501328195338
        ],
        "mean_score_norm": 0.3669364238996908,
        "psd_residual_min_eigenvalue": 0.11778931123505193
      }
    },
    "template_identifiability": {
      "score_kmeans:5": {
        "n_bins": 5,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 4,
        "effective_rank": 4,
        "full_rank": false,
        "singular_values": [
          2.070868701843857,
          0.9432657228228353,
          0.8556510104189603,
          0.524742985683773,
          1.1201000642563035e-17
        ],
        "condition_number": null,
        "nonidentifiability_witness": {
          "first_fractions": [
            0.07114292413895137,
            0.01961634066998172,
            0.015004471974150828,
            0.00023750000000000003,
            0.006950664910398206,
            0.8870480983065178
          ],
          "second_fractions": [
            0.07111207586104867,
            0.019573659330018277,
            0.01496052802584917,
            0.0001425,
            0.009284335089601792,
            0.8849269016934821
          ],
          "fraction_separation_norm": 0.003155823341076156,
          "maximum_bin_probability_difference": 2.220446049250313e-16
        }
      },
      "score_kmeans:6": {
        "n_bins": 6,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 5,
        "effective_rank": 5,
        "full_rank": true,
        "singular_values": [
          2.2418274669936804,
          0.9433376693268231,
          0.8491144254981138,
          0.7939496373763291,
          0.46389440386802294
        ],
        "condition_number": 4.832624511744435,
        "nonidentifiability_witness": null
      },
      "score_kmeans:8": {
        "n_bins": 8,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 5,
        "effective_rank": 5,
        "full_rank": true,
        "singular_values": [
          2.2418762816393714,
          0.9352711610788504,
          0.8332177203170874,
          0.7359908310632557,
          0.4016894673063548
        ],
        "condition_number": 5.581117913479093,
        "nonidentifiability_witness": null
      },
      "soft_voronoi:5": {
        "n_bins": 5,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 4,
        "effective_rank": 4,
        "full_rank": false,
        "singular_values": [
          2.0062078726483734,
          0.8555106532341493,
          0.8110557043176679,
          0.5136394229242418,
          9.137697577413634e-17
        ],
        "condition_number": null,
        "nonidentifiability_witness": {
          "first_fractions": [
            0.0858015485572476,
            0.01961185971717996,
            0.014987007021279152,
            0.0001425,
            0.008118642919020947,
            0.8713384417852723
          ],
          "second_fractions": [
            0.05645345144275245,
            0.019578140282820036,
            0.014977992978720846,
            0.00023750000000000003,
            0.008116357080979053,
            0.9006365582147275
          ],
          "fraction_separation_norm": 0.04146927391496053,
          "maximum_bin_probability_difference": 3.469446951953614e-18
        }
      },
      "soft_voronoi:6": {
        "n_bins": 6,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 5,
        "effective_rank": 5,
        "full_rank": true,
        "singular_values": [
          2.2372432788161225,
          0.9447032179585992,
          0.8480734649834434,
          0.7856557125781385,
          0.46337690944909204
        ],
        "condition_number": 4.828128534665176,
        "nonidentifiability_witness": null
      },
      "soft_voronoi:8": {
        "n_bins": 8,
        "n_classes": 6,
        "required_rank": 5,
        "rank_bound": 5,
        "effective_rank": 5,
        "full_rank": true,
        "singular_values": [
          2.249980629358609,
          0.9374950096390295,
          0.8317125908093713,
          0.7586715960715382,
          0.4048244695681571
        ],
        "condition_number": 5.5579165749510056,
        "nonidentifiability_witness": null
      }
    },
    "population_limit": {
      "score_kmeans:5": {
        "maximum_absolute_error": 0.009334266854718342,
        "maximum_absolute_mean_bias": 0.004860057208645202,
        "target_macro_rmse": 0.0011141503790757477,
        "converged_compositions": 9,
        "total_compositions": 11,
        "maximum_iterations": 2000
      },
      "score_kmeans:6": {
        "maximum_absolute_error": 4.15906688207453e-07,
        "maximum_absolute_mean_bias": 2.2901155788088856e-07,
        "target_macro_rmse": 9.40406893311228e-08,
        "converged_compositions": 11,
        "total_compositions": 11,
        "maximum_iterations": 240
      },
      "score_kmeans:8": {
        "maximum_absolute_error": 5.940596063280264e-07,
        "maximum_absolute_mean_bias": 3.271048405465164e-07,
        "target_macro_rmse": 1.3384116862427396e-07,
        "converged_compositions": 11,
        "total_compositions": 11,
        "maximum_iterations": 317
      },
      "soft_voronoi:5": {
        "maximum_absolute_error": 0.23175919090334252,
        "maximum_absolute_mean_bias": 0.19859005371510027,
        "target_macro_rmse": 0.039973751167918924,
        "converged_compositions": 0,
        "total_compositions": 11,
        "maximum_iterations": 2000
      },
      "soft_voronoi:6": {
        "maximum_absolute_error": 4.160272816803776e-07,
        "maximum_absolute_mean_bias": 2.2896352545040033e-07,
        "target_macro_rmse": 9.419664860198694e-08,
        "converged_compositions": 11,
        "total_compositions": 11,
        "maximum_iterations": 240
      },
      "soft_voronoi:8": {
        "maximum_absolute_error": 5.890476975461934e-07,
        "maximum_absolute_mean_bias": 3.274078643246967e-07,
        "target_macro_rmse": 1.3309283449710807e-07,
        "converged_compositions": 11,
        "total_compositions": 11,
        "maximum_iterations": 317
      }
    },
    "pseudo_patients": {
      "protocol": {
        "source": "reference_validation_rows_only",
        "compositions": [
          {
            "name": "reference",
            "fractions": [
              0.07112750000000002,
              0.019594999999999998,
              0.0149825,
              0.00019,
              0.0081175,
              0.8859874999999999
            ]
          },
          {
            "name": "T cells_x0.5",
            "fractions": [
              0.036875169302273754,
              0.020317568942478055,
              0.015534982224071318,
              0.00019700628216743206,
              0.008416834186811209,
              0.9186584390621982
            ]
          },
          {
            "name": "T cells_x2",
            "fractions": [
              0.13280865256470406,
              0.01829380722649731,
              0.013987597181474661,
              0.00017738317800635313,
              0.007578462881403007,
              0.8271540969679145
            ]
          },
          {
            "name": "B cells_x0.5",
            "fractions": [
              0.0718312668368339,
              0.009894440783577096,
              0.015130743459039944,
              0.00019187994374887966,
              0.008197818123060687,
              0.8947538508537395
            ]
          },
          {
            "name": "B cells_x2",
            "fractions": [
              0.06976054217606012,
              0.03843683031007409,
              0.014694560094939656,
              0.00018634850112054296,
              0.007961494514978986,
              0.8689602244028265
            ]
          },
          {
            "name": "monocytes_x0.5",
            "fractions": [
              0.07166435560391787,
              0.019742898992074376,
              0.007547792399815115,
              0.0001914340805559649,
              0.0081787692048055,
              0.8926747497188312
            ]
          },
          {
            "name": "monocytes_x2",
            "fractions": [
              0.07007756291364632,
              0.019305751576997633,
              0.02952267649934851,
              0.0001871953457325619,
              0.00799767483675827,
              0.8729091388275168
            ]
          },
          {
            "name": "mast cells_x0.5",
            "fractions": [
              0.0711342577544867,
              0.019596861701861677,
              0.01498392347272991,
              9.500902585745647e-05,
              0.008118271235767398,
              0.8860716768092969
            ]
          },
          {
            "name": "mast cells_x2",
            "fractions": [
              0.07111398834221501,
              0.019591277657245124,
              0.014979653865765505,
              0.0003799278137153941,
              0.008115957967986084,
              0.8858191943530729
            ]
          },
          {
            "name": "HSPCs_x0.5",
            "fractions": [
              0.07141736523113187,
              0.019674855319026095,
              0.01504355804119972,
              0.00019077430521127628,
              0.004075290585664566,
              0.8895981565177664
            ]
          },
          {
            "name": "HSPCs_x2",
            "fractions": [
              0.07055477164120257,
              0.019437218379801956,
              0.01486185886069828,
              0.00018847009401185875,
              0.016104273559381717,
              0.8788534074649036
            ]
          }
        ],
        "repeats_per_composition": 20,
        "events_per_pseudo_patient": 20000,
        "seed": 32026
      },
      "methods": {
        "unbinned_classifier_ratio": {
          "target_macro_rmse": 0.0009721890890887307,
          "per_class_rmse": [
            0.0028626689656779643,
            0.0007102365022575593,
            0.0005612469998684692,
            9.480313318950159e-05,
            0.0006319898444501593,
            0.0021381003451525884
          ],
          "mean_bias": [
            0.002814348798205508,
            -0.0005342918645083233,
            0.00032317314941199764,
            -7.589336982630715e-05,
            -0.0005577686932328139,
            -0.0019695680200500394
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 22
        },
        "score_kmeans:5": {
          "target_macro_rmse": 0.0023123630905715533,
          "per_class_rmse": [
            0.0014787163642281395,
            0.0005110320099781572,
            0.0005000696846211562,
            0.00021584927401061368,
            0.0088561481200197,
            0.007743538711825413
          ],
          "mean_bias": [
            0.0013605362572370555,
            7.12586949934927e-05,
            -2.5892433109923257e-05,
            -0.00020454545454545394,
            -0.008440328892805079,
            0.007238971828229891
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 1199
        },
        "score_kmeans:6": {
          "target_macro_rmse": 0.0007275509573078239,
          "per_class_rmse": [
            0.0014986281254340725,
            0.000582124043940185,
            0.0005230564674888143,
            0.00021583681156136462,
            0.0008181093381146828,
            0.0010564072934522773
          ],
          "mean_bias": [
            0.0013777204260763908,
            0.00014837994044230825,
            -2.7926124507981555e-05,
            -0.00020453297723949893,
            -0.0006753203234070649,
            -0.0006183209413641765
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 43
        },
        "score_kmeans:8": {
          "target_macro_rmse": 0.0008645637940514345,
          "per_class_rmse": [
            0.001641983325158952,
            0.0006210691343662864,
            0.0005500023257823598,
            0.00021583967271680677,
            0.0012939245122327667,
            0.0009590829266438978
          ],
          "mean_bias": [
            0.001529719609204389,
            0.00022244650312925354,
            0.00012734165701515991,
            -0.0002045355744780678,
            -0.0012227379745492278,
            -0.00045223422032149573
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 37
        },
        "soft_voronoi:5": {
          "target_macro_rmse": 0.00732909423347654,
          "per_class_rmse": [
            0.03440538911515304,
            0.0005273660382863472,
            0.0005349570327875048,
            0.00021584927401061368,
            0.0009619097071451835,
            0.03538041892791886
          ],
          "mean_bias": [
            -0.02430856950653064,
            -9.175008939126434e-05,
            -0.00015951225277487056,
            -0.00020454545454545394,
            -0.0008643970949723665,
            0.025628774398214576
          ],
          "converged_pseudo_patients": 0,
          "total_pseudo_patients": 220,
          "maximum_iterations": 2000
        },
        "soft_voronoi:6": {
          "target_macro_rmse": 0.00065702752470684,
          "per_class_rmse": [
            0.001231549855210535,
            0.0005690816923414929,
            0.0005299613731767484,
            0.00021583688934114748,
            0.0007387078134642759,
            0.0009860463269638147
          ],
          "mean_bias": [
            0.0010867181151424062,
            0.00010235234880549742,
            3.363914670008073e-05,
            -0.00020453305369512513,
            -0.0005580730280601798,
            -0.00046010352889269435
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 43
        },
        "soft_voronoi:8": {
          "target_macro_rmse": 0.0007537599008044484,
          "per_class_rmse": [
            0.0012596446140799755,
            0.0006494171922648499,
            0.0005724225794449101,
            0.00021583940509931377,
            0.0010714757131331928,
            0.0009508683500418979
          ],
          "mean_bias": [
            0.0011163489177228407,
            0.00026738763455956923,
            0.00017362809828230962,
            -0.0002045353838319459,
            -0.000979241584378733,
            -0.0003735876823540702
          ],
          "converged_pseudo_patients": 220,
          "total_pseudo_patients": 220,
          "maximum_iterations": 35
        }
      },
      "by_composition": {
        "reference": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0008535368020188338,
            "per_class_rmse": [
              0.002714812976047187,
              0.000659974755515547,
              0.0003290612438763895,
              7.015891014213211e-05,
              0.0004936761245129134,
              0.0019576251431430883
            ],
            "mean_bias": [
              0.002671127517249304,
              -0.00048467075336642836,
              0.00014091204416985845,
              -5.553497091443633e-05,
              -0.00044892050706719455,
              -0.0018229133300714073
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 9
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0021105267282533714,
            "per_class_rmse": [
              0.0012876589939082965,
              0.0005309768151403102,
              0.00043458944195610635,
              0.00020000000000000004,
              0.008099408390262143,
              0.007290972477888576
            ],
            "mean_bias": [
              0.0012066293693769347,
              9.778058104847904e-05,
              -0.00025784335458493645,
              -0.00020000000000000004,
              -0.00809940839014617,
              0.00725284179430572
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 853
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0006264869281868463,
            "per_class_rmse": [
              0.001302732010875296,
              0.0005541511269934779,
              0.0004425775981109018,
              0.000199987011284869,
              0.0006329868936696869,
              0.0007923751989723728
            ],
            "mean_bias": [
              0.001221909234683976,
              0.00016819805078664498,
              -0.00026400030762866453,
              -0.0001999870112797309,
              -0.0005639266751939555,
              -0.0003621932913682846
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 32
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0007533557424153023,
            "per_class_rmse": [
              0.0014415122814421873,
              0.0005701130625930032,
              0.00037438534325014584,
              0.0001999897813755242,
              0.0011807782434156509,
              0.0007076281108407935
            ],
            "mean_bias": [
              0.001371762481503367,
              0.0002455558472655887,
              -0.00011222012999133621,
              -0.0001999897813667603,
              -0.0011358135954676878,
              -0.0001692948219432111
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.004551476205826537,
            "per_class_rmse": [
              0.02068745234283041,
              0.0005456768923109434,
              0.000533821592568544,
              0.00020000000000000004,
              0.0007904302014227931,
              0.02207687071100557
            ],
            "mean_bias": [
              -0.019859668279986607,
              -6.170142926636667e-05,
              -0.00040758057225469236,
              -0.00020000000000000004,
              -0.0007406673148524252,
              0.02126961759636012
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0005465977976403607,
            "per_class_rmse": [
              0.0010451550936365274,
              0.0005397740659285435,
              0.00041036427330461573,
              0.00019998730907223639,
              0.0005377082462598802,
              0.0007426569751837521
            ],
            "mean_bias": [
              0.0009441286524618911,
              0.00011372785121644986,
              -0.00020418446493960856,
              -0.00019998730906737038,
              -0.0004479716738293482,
              -0.00020571305584206058
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 32
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.000630438274092405,
            "per_class_rmse": [
              0.001055121886103259,
              0.0006152479779729879,
              0.0003656384299334112,
              0.00019998983114799052,
              0.0009161932453043769,
              0.0007213622461244755
            ],
            "mean_bias": [
              0.0009587316719292215,
              0.0002820273473555136,
              -7.701330803339514e-05,
              -0.00019998983113994547,
              -0.0008827012681307617,
              -8.105461198071318e-05
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          }
        },
        "T cells_x0.5": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0009592521902086322,
            "per_class_rmse": [
              0.002862186858905896,
              0.0006548237470844208,
              0.0005199657371414118,
              5.918253971079394e-05,
              0.000700102068200638,
              0.002057943948174202
            ],
            "mean_bias": [
              0.002826341164872511,
              -0.0005678675002665926,
              0.00038543310269111323,
              -4.8375959123405484e-05,
              -0.000650907874331986,
              -0.0019446229338416833
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 8
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0020974361370201125,
            "per_class_rmse": [
              0.0010633848028288714,
              0.0003771911315177945,
              0.0004472123992653829,
              0.00020000000000000004,
              0.008399392351488514,
              0.0075530935612678355
            ],
            "mean_bias": [
              0.000936922349812475,
              5.643278845184948e-05,
              9.017807233734354e-05,
              -0.00020000000000000004,
              -0.008399392351366778,
              0.0075158591407652135
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 872
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0005739772747245733,
            "per_class_rmse": [
              0.0010212614617118572,
              0.00039983120971590985,
              0.00045016166512303583,
              0.000199985272574332,
              0.0007986467644977315,
              0.000832129412555608
            ],
            "mean_bias": [
              0.0008884584253348145,
              0.00012863085164830732,
              8.863220178134107e-05,
              -0.00019998527256771115,
              -0.0007224961009576203,
              -0.0001832401052391075
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 33
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0007025576856822754,
            "per_class_rmse": [
              0.0011048766248309776,
              0.00042959233434411393,
              0.0005063726152631389,
              0.00019998940096460782,
              0.001271957453008539,
              0.0007892162619165305
            ],
            "mean_bias": [
              0.000983666099183622,
              0.0002019316631352344,
              0.00024363470337701387,
              -0.00019998940095256992,
              -0.0012315130014255026,
              2.269936682303131e-06
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.0034944909669304804,
            "per_class_rmse": [
              0.015441531782986634,
              0.0003828141676189057,
              0.00046036681774419335,
              0.00020000000000000004,
              0.0009877420663026728,
              0.014285942239092549
            ],
            "mean_bias": [
              0.014492511754151765,
              -0.00010188436186788063,
              -7.803614170189855e-06,
              -0.00020000000000000004,
              -0.0009288992003752127,
              -0.01325392457773839
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0005180743117583786,
            "per_class_rmse": [
              0.0008193876893530414,
              0.0003856473355178778,
              0.0004676036231525784,
              0.00019998525164367784,
              0.0007177476591247177,
              0.000811781784113743
            ],
            "mean_bias": [
              0.0006379904811203967,
              8.13229309169888e-05,
              0.0001517803129319822,
              -0.0001999852516362032,
              -0.0006211753460326135,
              -4.9933127300572086e-05
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 32
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0006051628839702604,
            "per_class_rmse": [
              0.0008004316410222494,
              0.00044108964545882195,
              0.0005422794854848282,
              0.00019998895132345568,
              0.0010420246965619471,
              0.0007997475579232875
            ],
            "mean_bias": [
              0.0006136157450124712,
              0.0002327366999096865,
              0.0003010703974419693,
              -0.00019998895131559873,
              -0.0009996458948269597,
              5.221200377846236e-05
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          }
        },
        "T cells_x2": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0008164483081542614,
            "per_class_rmse": [
              0.0024411302413659026,
              0.0005110153602404911,
              0.0005309665702804846,
              5.9027717116201235e-05,
              0.0005401016517682275,
              0.0019662588649994144
            ],
            "mean_bias": [
              0.00238162086362701,
              -0.0003569419501848475,
              0.00033940119313269156,
              -4.664629724999929e-05,
              -0.0004948356016486382,
              -0.0018225982076771508
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 9
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0020654627162297735,
            "per_class_rmse": [
              0.0016775759156550695,
              0.00035697041456535006,
              0.0005433046198295531,
              0.00015,
              0.007599462631098895,
              0.006320227823906064
            ],
            "mean_bias": [
              0.001591036983117522,
              6.386860260429572e-05,
              -0.00017931899871158227,
              -0.00015,
              -0.007599462631014073,
              0.006273876044003801
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 825
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0007481227733791738,
            "per_class_rmse": [
              0.0018131666252363284,
              0.0003836489989622114,
              0.0005473084282837306,
              0.00014998986006094594,
              0.0008464999543526529,
              0.0010481320919912896
            ],
            "mean_bias": [
              0.0017327010358791236,
              0.00014252987969798884,
              -0.0001762294094381345,
              -0.00014998986005415518,
              -0.0007915004755533626,
              -0.0007575111705314941
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 32
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0008974948898388173,
            "per_class_rmse": [
              0.0020324562215390646,
              0.0004143619650928808,
              0.0005259185429615821,
              0.00014999073042759215,
              0.0013647469891729664,
              0.0009691674591102584
            ],
            "mean_bias": [
              0.001961967396495777,
              0.00019552948208491385,
              -4.460665936878968e-05,
              -0.00014999073041927454,
              -0.0013379424001165698,
              -0.0006249570886760703
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.017749921568438007,
            "per_class_rmse": [
              0.08662211174284913,
              0.0003868735783545871,
              0.0006069835082052269,
              0.00015,
              0.0009836390127810864,
              0.08812012750010528
            ],
            "mean_bias": [
              -0.08640948424254664,
              -0.00011332341109650205,
              -0.00029399508042751504,
              -0.00015,
              -0.0009393397886298691,
              0.08790614252270042
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0006531974807063889,
            "per_class_rmse": [
              0.0014600861343292745,
              0.00037154545828926004,
              0.0005329208086000403,
              0.00014998977703963582,
              0.0007514452252737336,
              0.000905308740250697
            ],
            "mean_bias": [
              0.0013616271814383962,
              0.00010348911967885469,
              -0.00012034502017400968,
              -0.00014998977702424278,
              -0.0006936933112034589,
              -0.0005010881927155486
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0007595850946593185,
            "per_class_rmse": [
              0.0015680499594926851,
              0.00044550066426085426,
              0.0005341326307872816,
              0.00014999024998860796,
              0.001100251968767164,
              0.0009658458310207069
            ],
            "mean_bias": [
              0.0014809485048849296,
              0.00023667932167063932,
              2.9628403257033095e-06,
              -0.00014999024997448747,
              -0.001073057254864114,
              -0.000497543162042774
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          }
        },
        "B cells_x0.5": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0008752082508323367,
            "per_class_rmse": [
              0.0029432935746714927,
              0.0002564841870719781,
              0.0004206956725509435,
              9.135831482694155e-05,
              0.0006642095050403275,
              0.002403570757766133
            ],
            "mean_bias": [
              0.002899259474771361,
              -0.00011338376356774104,
              0.00023816416715537555,
              -7.32093536152908e-05,
              -0.0006236685786175788,
              -0.002327161946126566
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 9
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0022264700570903025,
            "per_class_rmse": [
              0.0017449632684582465,
              0.0005444281879376995,
              0.00044357483036093476,
              0.00020000000000000004,
              0.008199383998694632,
              0.007076821663687833
            ],
            "mean_bias": [
              0.0016528506783886148,
              -0.00040015526455920003,
              0.0001021718081754666,
              -0.00020000000000000004,
              -0.008199383998251703,
              0.007044516776246718
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 927
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.000726776745161351,
            "per_class_rmse": [
              0.0017514338620594771,
              0.0005968737944473184,
              0.00044026151849963386,
              0.0001999876686291946,
              0.0006453268821711311,
              0.0008592092194334345
            ],
            "mean_bias": [
              0.0016597400726705957,
              -0.00045980622911129026,
              7.592841193136933e-05,
              -0.00019998766860990433,
              -0.0005285072817642956,
              -0.0005473673051165307
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 34
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0008384636276789301,
            "per_class_rmse": [
              0.0018882684912245548,
              0.000569380878304635,
              0.0004837226355288519,
              0.00019998821250299877,
              0.0010509579208336094,
              0.0007783030056877397
            ],
            "mean_bias": [
              0.0018016475242897013,
              -0.0004332232767218137,
              0.00020164514557981906,
              -0.00019998821248778066,
              -0.0010173400941555033,
              -0.0003527410865044267
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 32
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.00479115123943204,
            "per_class_rmse": [
              0.021849653025492997,
              0.000670353155002055,
              0.00044134021410643633,
              0.00020000000000000004,
              0.0007944098025587123,
              0.023199621484088016
            ],
            "mean_bias": [
              -0.019619385484209457,
              -0.000556992084058886,
              -2.514701221321804e-05,
              -0.00020000000000000004,
              -0.0007108004350955587,
              0.021112325015577083
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0006557924121519267,
            "per_class_rmse": [
              0.0014483877792443127,
              0.0006258210601960091,
              0.00045586565435981504,
              0.00019998797841538113,
              0.0005488995885441152,
              0.0007620587343224895
            ],
            "mean_bias": [
              0.0013429872839936393,
              -0.000499945803590981,
              0.00013682687992234389,
              -0.0001999879783972952,
              -0.0004196525121695161,
              -0.0003602278697581951
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 34
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0007203477705085391,
            "per_class_rmse": [
              0.0014487708731698537,
              0.0005447134860672555,
              0.0004927012345782194,
              0.00019998952243956638,
              0.0009155637362878004,
              0.0007279589867519547
            ],
            "mean_bias": [
              0.0013427094002122857,
              -0.0003922491730879136,
              0.00023507574796949914,
              -0.00019998952242270877,
              -0.0008656392866498507,
              -0.00011990716602135465
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          }
        },
        "B cells_x2": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.001109317483620936,
            "per_class_rmse": [
              0.0027069538856627005,
              0.0014388693293428767,
              0.0007086009334925082,
              9.472661524866242e-05,
              0.0005974366543579311,
              0.0014819366388831659
            ],
            "mean_bias": [
              0.002641474975775835,
              -0.0013877210692795905,
              0.000571990277483994,
              -7.943583509017118e-05,
              -0.0005246482930430178,
              -0.001221660055846313
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 8
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.002162988313711403,
            "per_class_rmse": [
              0.0011646294198022753,
              0.0009361363698127528,
              0.0005647050439941203,
              0.00020000000000000004,
              0.007949470734947867,
              0.00663895785419454
            ],
            "mean_bias": [
              0.000973837761619762,
              0.000815643158051944,
              -0.00023567319908513834,
              -0.00020000000000000004,
              -0.007949470734878372,
              0.006595663014291769
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 788
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0008700841654564436,
            "per_class_rmse": [
              0.001198264018999876,
              0.0012480533487557541,
              0.0005530404611147205,
              0.00019998867937957314,
              0.001151074319032294,
              0.0010624015518308676
            ],
            "mean_bias": [
              0.0010126617121602774,
              0.001159318092955276,
              -0.00018952734717528428,
              -0.0001999886793673919,
              -0.0010879687554834635,
              -0.0006944950230894032
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0010329992554486641,
            "per_class_rmse": [
              0.0013370721287591632,
              0.001381975188731885,
              0.0005185373475931078,
              0.0001999907918882467,
              0.0017274208202709175,
              0.000999946133021432
            ],
            "mean_bias": [
              0.001173362420126088,
              0.0013000973264908026,
              8.435115700523508e-06,
              -0.00019999079188213017,
              -0.0016936940672679188,
              -0.0005882100031672944
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 27
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.00597930052815323,
            "per_class_rmse": [
              0.026914019907856013,
              0.0008418248248677927,
              0.0006226338719462356,
              0.00020000000000000004,
              0.0013180240360961108,
              0.02802404297922689
            ],
            "mean_bias": [
              -0.026359381843925982,
              0.0007165594320039277,
              -0.0003552902903636686,
              -0.00020000000000000004,
              -0.0012638613200795551,
              0.027461974022365238
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.000791233051378034,
            "per_class_rmse": [
              0.0009715206829205999,
              0.001195303430889752,
              0.0005370497018592173,
              0.00019998891460458622,
              0.0010523025266160136,
              0.001003616029400372
            ],
            "mean_bias": [
              0.0007183320851277743,
              0.0011005236260373987,
              -0.00013048358318377523,
              -0.00019998891459292191,
              -0.0009767156175802233,
              -0.0005116675958082961
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0009224643078124993,
            "per_class_rmse": [
              0.0009941084713899302,
              0.0014486491900147858,
              0.0005212220521696746,
              0.0001999909397600553,
              0.0014483508857280514,
              0.0010513739150547678
            ],
            "mean_bias": [
              0.0007535236579159956,
              0.0013774753482058213,
              4.7552594923862704e-05,
              -0.00019999093975496828,
              -0.0014061698819577764,
              -0.0005723907793329208
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          }
        },
        "monocytes_x0.5": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0010240363588574486,
            "per_class_rmse": [
              0.002997714976508309,
              0.0006798010111805021,
              0.0008607160079695132,
              8.254260084901827e-05,
              0.0004994071977799005,
              0.0027078309304459456
            ],
            "mean_bias": [
              0.0029597344117072246,
              -0.0005976930311983695,
              0.0007715510309943699,
              -6.83954937680039e-05,
              -0.00044666581414220966,
              -0.0026185311035920476
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 9
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0021837668317937044,
            "per_class_rmse": [
              0.001692461423598987,
              0.0003519772527864121,
              0.0004749902328119478,
              0.00020000000000000004,
              0.008199405249771176,
              0.006966083507595284
            ],
            "mean_bias": [
              0.0015976961011769978,
              3.36071019844196e-05,
              -0.0001685509279148719,
              -0.00020000000000000004,
              -0.008199405249604275,
              0.0069366529743576325
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 880
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0006836987619552394,
            "per_class_rmse": [
              0.001705570923848049,
              0.00037071278152085545,
              0.0005062182338634978,
              0.00019998588211442536,
              0.0006360059884293691,
              0.0010744511009669188
            ],
            "mean_bias": [
              0.0016113991818632906,
              9.996004668627756e-05,
              -0.00024359765006596204,
              -0.0001999858821051869,
              -0.0005307924716416936,
              -0.0007369832247368313
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 33
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0007871668851581609,
            "per_class_rmse": [
              0.0018426438100520336,
              0.0003898212165299367,
              0.00047222957634968186,
              0.0001999893058121523,
              0.0010311505170470003,
              0.00098299768610035
            ],
            "mean_bias": [
              0.0017570517635618252,
              0.00016764146396426298,
              -0.0001418064913632084,
              -0.0001999893058031913,
              -0.0009925193797403573,
              -0.0005903780506193778
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.004672224591350027,
            "per_class_rmse": [
              0.021452927994724477,
              0.00038401998161053394,
              0.0005249345280357013,
              0.00020000000000000004,
              0.0007992404523794235,
              0.02270628707984165
            ],
            "mean_bias": [
              -0.020423749136286147,
              -0.00015221541710668825,
              -0.0002794557837997295,
              -0.00020000000000000004,
              -0.0007221700185123923,
              0.021777590355704868
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0005975618415574582,
            "per_class_rmse": [
              0.001408270242632218,
              0.0003641022190449833,
              0.0004897442545781391,
              0.00019998623439170223,
              0.0005257062571402482,
              0.0009663094172193626
            ],
            "mean_bias": [
              0.0012905973707911917,
              5.068740571136081e-05,
              -0.00020410280076953855,
              -0.00019998623438307895,
              -0.0003965625332110218,
              -0.0005406332081389686
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 33
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.000661802980898161,
            "per_class_rmse": [
              0.0014336843600607325,
              0.00041492067163613987,
              0.0004700566704569267,
              0.00019998852564890706,
              0.0007903646766880986,
              0.0008855335608962047
            ],
            "mean_bias": [
              0.0013260192321431926,
              0.0002030751560250038,
              -0.00010861761660265674,
              -0.00019998852563962036,
              -0.0007442046096579442,
              -0.00047628363626806556
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          }
        },
        "monocytes_x2": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0009349367326616752,
            "per_class_rmse": [
              0.0028410233051667094,
              0.0004976026384334377,
              0.0005426996760236808,
              0.0001057690803353191,
              0.0006875889633492288,
              0.001646303294727082
            ],
            "mean_bias": [
              0.002818428926130641,
              -0.0003162126027249124,
              -0.00031159917050535975,
              -8.574542323395168e-05,
              -0.0006219422942294004,
              -0.0014829294354363365
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 22
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0021200864541307133,
            "per_class_rmse": [
              0.0012520388160928162,
              0.00045188233051175693,
              0.0006970533363825129,
              0.00020000000000000004,
              0.00799945778766648,
              0.006546505405292805
            ],
            "mean_bias": [
              0.0011811078070061611,
              4.758364255020818e-05,
              0.00046356345306289206,
              -0.00020000000000000004,
              -0.00799945778755735,
              0.006507202884938085
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 816
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0007659547790326882,
            "per_class_rmse": [
              0.0012763996883576973,
              0.0004756416163599956,
              0.0008047807882059851,
              0.00019998888023989875,
              0.0010729629219998643,
              0.00113724595443395
            ],
            "mean_bias": [
              0.0012062942452298233,
              0.00013424988544131003,
              0.0006099610870953988,
              -0.00019998888021905797,
              -0.0009705898836401873,
              -0.000779926453907287
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.000938599071370025,
            "per_class_rmse": [
              0.001412914613088118,
              0.0004925870994734996,
              0.0009922804287519772,
              0.00019998995484772045,
              0.0015952232606888095,
              0.001017167847413846
            ],
            "mean_bias": [
              0.001349659616451781,
              0.0001942393891802764,
              0.0008383745942869196,
              -0.00019998995483787042,
              -0.0015608819675179365,
              -0.0006214016775631548
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.0057203057085810196,
            "per_class_rmse": [
              0.026090139114868707,
              0.0004547526167687504,
              0.0006324730822426704,
              0.00020000000000000004,
              0.0012241637290249712,
              0.0271217212529721
            ],
            "mean_bias": [
              -0.025332992767683766,
              -7.475969410143737e-05,
              0.00033788232682594436,
              -0.00020000000000000004,
              -0.0011404576510323928,
              0.02641032778599169
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.000708776224054154,
            "per_class_rmse": [
              0.001034017242246244,
              0.00045336423607555975,
              0.0008833879797951941,
              0.00019998822927967753,
              0.0009731234328740944,
              0.0010930126694708865
            ],
            "mean_bias": [
              0.0009422188251450491,
              9.18423016446325e-05,
              0.0007102093364363361,
              -0.00019998822925604837,
              -0.0008573516395475383,
              -0.000686930594422469
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0008469601742270422,
            "per_class_rmse": [
              0.0010797946562309106,
              0.0005241463976334993,
              0.0010694040330374954,
              0.00019999057178985674,
              0.0013614652124434492,
              0.0010324319628124592
            ],
            "mean_bias": [
              0.0009833817192302322,
              0.0002663638982844812,
              0.0009296509973412968,
              -0.0001999905717804308,
              -0.001319223726752973,
              -0.0006601823163226272
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          }
        },
        "mast cells_x0.5": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0009892837279532939,
            "per_class_rmse": [
              0.0029255728207566822,
              0.0005813879903708997,
              0.0006734823789430161,
              6.452336334534267e-05,
              0.000701452086350528,
              0.002386579979278498
            ],
            "mean_bias": [
              0.0028809114758150526,
              -0.0004375842058640772,
              0.0004132812291497118,
              -4.938190330618652e-05,
              -0.0006423476286992311,
              -0.002164878967094086
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 22
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.002155518814900708,
            "per_class_rmse": [
              0.001455104835861807,
              0.0005113236909776446,
              0.0006116690805879511,
              0.00010000000000000002,
              0.008099496467076138,
              0.006685862582238189
            ],
            "mean_bias": [
              0.001366516784348472,
              0.00016551964687156178,
              5.927371872101418e-05,
              -0.00010000000000000002,
              -0.008099496467007018,
              0.006608186317065906
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 794
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0007273281147806564,
            "per_class_rmse": [
              0.0014775520683450246,
              0.000547569775721924,
              0.0006165514925237264,
              9.999009749189e-05,
              0.0008949771398207169,
              0.0014467576399496303
            ],
            "mean_bias": [
              0.0013894019565464585,
              0.0002536428274145035,
              6.552500391034735e-05,
              -9.999009746889219e-05,
              -0.0007854473153479105,
              -0.0008231323750545582
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0008795721131940892,
            "per_class_rmse": [
              0.001616663521615415,
              0.0005981411648039366,
              0.0006603153129671001,
              9.999120211857726e-05,
              0.0014227493644654165,
              0.0012844062011911044
            ],
            "mean_bias": [
              0.0015389134005271532,
              0.0003326917233951749,
              0.00021907424603845863,
              -9.999120210687853e-05,
              -0.0013888854167863215,
              -0.0006018027510675983
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 27
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.0069620944965951516,
            "per_class_rmse": [
              0.03254387565076257,
              0.0005000701089634498,
              0.0006201124543172406,
              0.00010000000000000002,
              0.0010464142689324961,
              0.03366325916262998
            ],
            "mean_bias": [
              -0.03214333467714218,
              2.4351779214577124e-05,
              -8.441966113222647e-05,
              -0.00010000000000000002,
              -0.000962418374978051,
              0.03326582093403783
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0006586218909442644,
            "per_class_rmse": [
              0.0012231046698475752,
              0.0005315468474112723,
              0.0006268701222447523,
              9.999031801484446e-05,
              0.0008115974972028778,
              0.00136661640355967
            ],
            "mean_bias": [
              0.0011186864966168642,
              0.00022255274817546567,
              0.0001256878266266,
              -9.999031799296612e-05,
              -0.0006795508398488823,
              -0.0006873859135770432
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 30
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0007622262865572952,
            "per_class_rmse": [
              0.0012287609252919557,
              0.0006394799960565568,
              0.0006876514100755998,
              9.999092207284815e-05,
              0.0011552481792895157,
              0.0012834050270554456
            ],
            "mean_bias": [
              0.001133392124284848,
              0.00038343957743163984,
              0.0002695828088065736,
              -9.999092206085254e-05,
              -0.0010939362602177588,
              -0.0005924873282444787
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 27
          }
        },
        "mast cells_x2": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0009185473893917691,
            "per_class_rmse": [
              0.0028744817268934425,
              0.0006336965590749443,
              0.0004644796140075815,
              0.00016676040119873104,
              0.00045331864578414705,
              0.002140661824372344
            ],
            "mean_bias": [
              0.0028233610766288525,
              -0.0005530577271696464,
              0.0002942226681107208,
              -0.00015567994611478462,
              -0.0004165177658787151,
              -0.0019923283055765296
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 9
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0021646576002587983,
            "per_class_rmse": [
              0.0015130924336255508,
              0.0003707951335825483,
              0.00044014596841135303,
              0.0004000000000000001,
              0.008099254465674539,
              0.007228897906138792
            ],
            "mean_bias": [
              0.0013861734561058422,
              -3.2594466772105714e-06,
              -6.317727043967285e-05,
              -0.0004000000000000001,
              -0.008099254464881354,
              0.007179517725892359
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 1199
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0006654809523952511,
            "per_class_rmse": [
              0.0015234718417963954,
              0.000375114325818469,
              0.0004439701611044272,
              0.0003999818132102165,
              0.0005848666200467476,
              0.0010601886730672917
            ],
            "mean_bias": [
              0.001396826780788555,
              5.136249804493457e-05,
              -7.412900688844359e-05,
              -0.0003999818131950438,
              -0.0005014795993732647,
              -0.00047259885937678823
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 43
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0007962786883139797,
            "per_class_rmse": [
              0.0016628628523444782,
              0.00040547112602140167,
              0.0004521523454266776,
              0.0003999879803098022,
              0.001060919137467539,
              0.0009490817297701245
            ],
            "mean_bias": [
              0.0015483247632874341,
              0.00012953415420782454,
              8.004449979024326e-05,
              -0.00039998798030409433,
              -0.0010403100649752036,
              -0.00031760537200622443
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 37
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.0027118287025201947,
            "per_class_rmse": [
              0.011501001492046872,
              0.0004232210880548738,
              0.0005011255461754621,
              0.0004000000000000001,
              0.0007337953863237654,
              0.012065280843543344
            ],
            "mean_bias": [
              -0.0023530211875142024,
              -0.00016934447891926285,
              -0.00020439251885822604,
              -0.0004000000000000001,
              -0.0006784054734993876,
              0.0038051636587911053
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0005907021370681728,
            "per_class_rmse": [
              0.001244153259418811,
              0.0003744777580726732,
              0.00043856155148540136,
              0.0003999819850830218,
              0.0004963361312809568,
              0.0010187713087365371
            ],
            "mean_bias": [
              0.0010774282887110417,
              8.35164457467369e-06,
              -1.4216786878675382e-05,
              -0.0003999819850699653,
              -0.00038461870312017177,
              -0.0002869624582169661
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 43
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0006851852702379537,
            "per_class_rmse": [
              0.0012603631937036697,
              0.0004339751850374173,
              0.000455362998200545,
              0.0003999866402325692,
              0.0008762383340155676,
              0.0009469402000947925
            ],
            "mean_bias": [
              0.0011002153512113019,
              0.0001716711924581558,
              0.00011508548883824255,
              -0.00039998664022213,
              -0.0008473556931888118,
              -0.00013962969909678825
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 35
          }
        },
        "HSPCs_x0.5": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0009265317940647038,
            "per_class_rmse": [
              0.0030201750043748355,
              0.0007485432690513633,
              0.00044354989344160667,
              9.646435068312516e-05,
              0.0003239264527725887,
              0.0024323535777309125
            ],
            "mean_bias": [
              0.0029863716905625176,
              -0.0006395978877613547,
              0.0003479856478623985,
              -8.446065869388199e-05,
              -0.0002783573238443638,
              -0.0023319414681247765
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 11
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.0013690018949500692,
            "per_class_rmse": [
              0.001633885984802257,
              0.0005188448657257049,
              0.0003928399777616479,
              0.00020000000000000004,
              0.004099438646460737,
              0.0030958995897012527
            ],
            "mean_bias": [
              0.0015555166614581318,
              -0.00018157408876552303,
              -5.888442390133159e-05,
              -0.00020000000000000004,
              -0.004099438646220503,
              0.00298438049742934
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 854
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.0007643658333111442,
            "per_class_rmse": [
              0.0017239511233573845,
              0.0004928735229159908,
              0.0003951089778493147,
              0.00019998785243531748,
              0.0010099076899977135,
              0.0009652030287451618
            ],
            "mean_bias": [
              0.0016494537435202759,
              -3.5698894459399584e-06,
              4.251399587845064e-05,
              -0.00019998785239678523,
              -0.0009771713961695965,
              -0.0005112386013863934
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 33
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0008983429859111946,
            "per_class_rmse": [
              0.001858596711990573,
              0.0004984444669073604,
              0.0004297313524123757,
              0.00019999371450654918,
              0.0015049486837391147,
              0.0008854311989383768
            ],
            "mean_bias": [
              0.0017891746449230001,
              5.7159988379382705e-05,
              0.00018344844518818477,
              -0.00019999371449128334,
              -0.0014917830023416976,
              -0.0003380063616574891
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.005053272428201609,
            "per_class_rmse": [
              0.023076866281240487,
              0.0005260373514218952,
              0.0003678180669992505,
              0.00020000000000000004,
              0.001095640441346412,
              0.024608189864058747
            ],
            "mean_bias": [
              -0.02203197179670737,
              -0.0002343806602448626,
              -6.237277161955882e-05,
              -0.00020000000000000004,
              -0.0010683981922821905,
              0.023597123420853995
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0007010607348927371,
            "per_class_rmse": [
              0.0014703030043109193,
              0.0004931700335593964,
              0.00040749529112576164,
              0.0001999876275745367,
              0.0009343477178930721,
              0.0008550575865058411
            ],
            "mean_bias": [
              0.0013896865428328262,
              -4.8416369927526544e-05,
              0.00010404428605922589,
              -0.0001999876275371828,
              -0.0009018800991384436,
              -0.00034344673228884346
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 33
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0007994090932669935,
            "per_class_rmse": [
              0.001486994002645784,
              0.0004955272830954418,
              0.0004614993874078679,
              0.0001999928758634431,
              0.0013530319173224309,
              0.0008400838210957562
            ],
            "mean_bias": [
              0.0014072088236260724,
              9.667723638357023e-05,
              0.00023702844210885982,
              -0.0001999928758425233,
              -0.0013335403090212951,
              -0.00020738131725465682
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          }
        },
        "HSPCs_x2": {
          "unbinned_classifier_ratio": {
            "target_macro_rmse": 0.0010454930953573082,
            "per_class_rmse": [
              0.003103354027590109,
              0.0005268111889204552,
              0.00047317810977353677,
              0.00010177100868444014,
              0.0010223511418179993,
              0.002035216961406305
            ],
            "mean_bias": [
              0.003069205203120291,
              -0.000422480018207998,
              0.00036356245328709883,
              -8.796122697926731e-05,
              -0.0009866439440586205,
              -0.0019356824671635353
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 8
          },
          "score_kmeans:5": {
            "target_macro_rmse": 0.003725142871925892,
            "per_class_rmse": [
              0.0015936942929692848,
              0.0003899660730239628,
              0.0003426068936096443,
              0.00020000000000000004,
              0.016099447100026566,
              0.014742828475264206
            ],
            "mean_bias": [
              0.0015176108771966811,
              8.839892336759552e-05,
              -3.6555641868338785e-05,
              -0.00020000000000000004,
              -0.01609944709992825,
              0.014729992941232279
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 856
          },
          "score_kmeans:6": {
            "target_macro_rmse": 0.00057221580844154,
            "per_class_rmse": [
              0.0014695000337864503,
              0.0003903732545979415,
              0.00041765111553773433,
              0.0001999897323836141,
              0.0003835649059019596,
              0.0011805277300906735
            ],
            "mean_bias": [
              0.0013860782981631042,
              -4.233666925262166e-05,
              -0.00024226434898821518,
              -0.0001999897323706293,
              3.135639764763644e-05,
              -0.0009328439451992632
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          },
          "score_kmeans:8": {
            "target_macro_rmse": 0.0006463522186644295,
            "per_class_rmse": [
              0.0016277389539704277,
              0.0004030409884498378,
              0.000344591548316158,
              0.00019999024461571463,
              0.0006563993579700099,
              0.0010556271600621633
            ],
            "mean_bias": [
              0.0015513855908985178,
              5.5753773040140635e-05,
              -7.526524207106993e-05,
              -0.00019999024460691408,
              -0.0005594347302468131,
              -0.0007724491470139094
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 28
          },
          "soft_voronoi:5": {
            "target_macro_rmse": 0.005946384820845805,
            "per_class_rmse": [
              0.028011123722798653,
              0.0004970593758217741,
              0.0005036350230112229,
              0.00020000000000000004,
              0.0005201059825973795,
              0.02921984866027425
            ],
            "mean_bias": [
              -0.027353786909986393,
              -0.0002855606578605261,
              -0.0003720598025104958,
              -0.00020000000000000004,
              -0.00035295027535899926,
              0.028564357645716333
            ],
            "converged_pseudo_patients": 0,
            "total_pseudo_patients": 20,
            "maximum_iterations": 2000
          },
          "soft_voronoi:6": {
            "target_macro_rmse": 0.0005361283489679998,
            "per_class_rmse": [
              0.0012200323802743327,
              0.0003997043768735646,
              0.0003880446140575297,
              0.00019998996570130711,
              0.0004728704079332652,
              0.0011454169111914097
            ],
            "mean_bias": [
              0.0011302160583273996,
              -9.825961757684559e-05,
              -0.00018518537232999267,
              -0.00019998996568910127,
              0.00024036896701924178,
              -0.0008871500697506751
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 31
          },
          "soft_voronoi:8": {
            "target_macro_rmse": 0.0005255668077795417,
            "per_class_rmse": [
              0.001273923237257641,
              0.0004273245975826401,
              0.0003450807657935154,
              0.00019999019200640602,
              0.00038151524625750584,
              0.0010572970826276307
            ],
            "mean_bias": [
              0.0011800918645006957,
              8.336737551866546e-05,
              -4.246931201454859e-05,
              -0.00019999019199813981,
              -0.00020618324289781287,
              -0.0008148164931088553
            ],
            "converged_pseudo_patients": 20,
            "total_pseudo_patients": 20,
            "maximum_iterations": 29
          }
        }
      }
    },
    "seed_stability": {
      "seeds": [
        2026,
        2027,
        2028,
        2029,
        2030,
        2031,
        2032,
        2033,
        2034,
        2035
      ],
      "rows": [
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2026,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757477,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645202,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2027,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757469,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645201,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2028,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.00159706547929988,
          "population_limit_maximum_absolute_mean_bias": 0.007034847897425786,
          "population_limit_converged": 6
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2029,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757495,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645207,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2030,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0015970654792998658,
          "population_limit_maximum_absolute_mean_bias": 0.007034847897425728,
          "population_limit_converged": 6
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2031,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757501,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645205,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2032,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757486,
          "population_limit_maximum_absolute_mean_bias": 0.0048600572086452045,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2033,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.001114150379075748,
          "population_limit_maximum_absolute_mean_bias": 0.0048600572086452045,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2034,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757501,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645205,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 5,
          "seed": 2035,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.0011141503790757464,
          "population_limit_maximum_absolute_mean_bias": 0.004860057208645202,
          "population_limit_converged": 9
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2026,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005485,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.40406893311228e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155788088856e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2027,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005484,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068933059488e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787973164e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2028,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005483,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068933023948e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155788086638e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2029,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005484,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068933058933e-08,
          "population_limit_maximum_absolute_mean_bias": 2.290115578797366e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2030,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005485,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068932994775e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787959858e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2031,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005483,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068932934868e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787970578e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2032,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005479,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068932984058e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787973905e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2033,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005484,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068932913629e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787971563e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2034,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005484,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068933042464e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2901155787971317e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 6,
          "seed": 2035,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9800903047005484,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.404068933006535e-08,
          "population_limit_maximum_absolute_mean_bias": 2.290115578807555e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2026,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9880491504177784,
          "template_rank": 5,
          "minimum_validation_bin_count": 3,
          "population_limit_target_macro_rmse": 1.3384116862427396e-07,
          "population_limit_maximum_absolute_mean_bias": 3.271048405465164e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2027,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876252930609891,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.238522214372985e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0885203949542137e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2028,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9880468264860852,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2472929900389741e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0990248506437207e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2029,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876252641882308,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2385222143551062e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0885203949513803e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2030,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876252930609895,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.238522214365243e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0885203949546944e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2031,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9880461516629797,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2467842533625644e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0967490593098466e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2032,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876282274089839,
          "template_rank": 5,
          "minimum_validation_bin_count": 3,
          "population_limit_target_macro_rmse": 1.3314510673447434e-07,
          "population_limit_maximum_absolute_mean_bias": 3.2665896083108223e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2033,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9880461805457669,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.246784253351737e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0967490593047337e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2034,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.987625264188231,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2385222143728052e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0885203949523904e-07,
          "population_limit_converged": 11
        },
        {
          "method": "score_kmeans",
          "n_bins": 8,
          "seed": 2035,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876252930609892,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2385222143774075e-07,
          "population_limit_maximum_absolute_mean_bias": 3.088520394954879e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2026,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.039973751167918924,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510027,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2027,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.039973751167918965,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510044,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2028,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.040074917897621375,
          "population_limit_maximum_absolute_mean_bias": 0.19900796933238948,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2029,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.03997375116791889,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510002,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2030,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.04007491789764275,
          "population_limit_maximum_absolute_mean_bias": 0.19900796933249668,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2031,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.03997375116791893,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510027,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2032,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.03997375116791891,
          "population_limit_maximum_absolute_mean_bias": 0.1985900537151002,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2033,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.03997375116791897,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510052,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2034,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.03997375116791893,
          "population_limit_maximum_absolute_mean_bias": 0.19859005371510027,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 5,
          "seed": 2035,
          "fixed_total_rank": 4,
          "fixed_total_d_efficiency": 0.0,
          "template_rank": 4,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 0.04007491789763095,
          "population_limit_maximum_absolute_mean_bias": 0.1990079693324376,
          "population_limit_converged": 0
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2026,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830774,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860198694e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352545040033e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2027,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830773,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860104354e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544907218e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2028,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830769,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860091131e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352545022168e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2029,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830774,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860112994e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544908327e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2030,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830771,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860004939e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544904013e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2031,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.979980123183077,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860168332e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544910667e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2032,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830774,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860147791e-08,
          "population_limit_maximum_absolute_mean_bias": 2.289635254494652e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2033,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830774,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.4196648601153e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544910175e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2034,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.979980123183077,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860118985e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352544909312e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 6,
          "seed": 2035,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9799801231830773,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 9.419664860088233e-08,
          "population_limit_maximum_absolute_mean_bias": 2.2896352545012803e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2026,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9874103469462643,
          "template_rank": 5,
          "minimum_validation_bin_count": 3,
          "population_limit_target_macro_rmse": 1.3309283449710807e-07,
          "population_limit_maximum_absolute_mean_bias": 3.274078643246967e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2027,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9872009441704306,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2261211822680572e-07,
          "population_limit_maximum_absolute_mean_bias": 3.063535239354732e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2028,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9875367161482369,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2300949171360852e-07,
          "population_limit_maximum_absolute_mean_bias": 3.081030707082432e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2029,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9862626547677391,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.231598832302637e-07,
          "population_limit_maximum_absolute_mean_bias": 3.063956628779563e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2030,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9872009441704305,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2261211822519617e-07,
          "population_limit_maximum_absolute_mean_bias": 3.063535239352674e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2031,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.987643466304207,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2271126623591287e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0631561075676334e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2032,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9849312958131965,
          "template_rank": 5,
          "minimum_validation_bin_count": 3,
          "population_limit_target_macro_rmse": 1.3298144885230438e-07,
          "population_limit_maximum_absolute_mean_bias": 3.25948540898112e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2033,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9876434663042074,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2285132201687792e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0676129177032363e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2034,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9871952732916687,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.223584520860663e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0565644125293357e-07,
          "population_limit_converged": 11
        },
        {
          "method": "soft_voronoi",
          "n_bins": 8,
          "seed": 2035,
          "fixed_total_rank": 5,
          "fixed_total_d_efficiency": 0.9866130882720139,
          "template_rank": 5,
          "minimum_validation_bin_count": 16,
          "population_limit_target_macro_rmse": 1.2361021005187727e-07,
          "population_limit_maximum_absolute_mean_bias": 3.0737040822592034e-07,
          "population_limit_converged": 11
        }
      ],
      "summary": {
        "score_kmeans:5": {
          "fixed_total_rank_range": [
            4,
            4
          ],
          "template_rank_range": [
            4,
            4
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.0,
            "median": 0.0,
            "maximum": 0.0
          },
          "minimum_validation_bin_count": {
            "minimum": 16.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 0.0011141503790757464,
            "median": 0.001114150379075749,
            "maximum": 0.00159706547929988
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 0.004860057208645201,
            "median": 0.0048600572086452045,
            "maximum": 0.007034847897425786
          },
          "population_limit_converged_compositions": {
            "minimum": 6.0,
            "median": 9.0,
            "maximum": 9.0
          }
        },
        "score_kmeans:6": {
          "fixed_total_rank_range": [
            5,
            5
          ],
          "template_rank_range": [
            5,
            5
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.9800903047005479,
            "median": 0.9800903047005484,
            "maximum": 0.9800903047005485
          },
          "minimum_validation_bin_count": {
            "minimum": 16.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 9.404068932913629e-08,
            "median": 9.404068933015242e-08,
            "maximum": 9.40406893311228e-08
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 2.2901155787959858e-07,
            "median": 2.2901155787973413e-07,
            "maximum": 2.2901155788088856e-07
          },
          "population_limit_converged_compositions": {
            "minimum": 11.0,
            "median": 11.0,
            "maximum": 11.0
          }
        },
        "score_kmeans:8": {
          "fixed_total_rank_range": [
            5,
            5
          ],
          "template_rank_range": [
            5,
            5
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.9876252641882308,
            "median": 0.9876267602349866,
            "maximum": 0.9880491504177784
          },
          "minimum_validation_bin_count": {
            "minimum": 3.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 1.2385222143551062e-07,
            "median": 1.242653233864572e-07,
            "maximum": 1.3384116862427396e-07
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 3.0885203949513803e-07,
            "median": 3.0926347271298067e-07,
            "maximum": 3.271048405465164e-07
          },
          "population_limit_converged_compositions": {
            "minimum": 11.0,
            "median": 11.0,
            "maximum": 11.0
          }
        },
        "soft_voronoi:5": {
          "fixed_total_rank_range": [
            4,
            4
          ],
          "template_rank_range": [
            4,
            4
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.0,
            "median": 0.0,
            "maximum": 0.0
          },
          "minimum_validation_bin_count": {
            "minimum": 16.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 0.03997375116791889,
            "median": 0.039973751167918944,
            "maximum": 0.04007491789764275
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 0.19859005371510002,
            "median": 0.19859005371510036,
            "maximum": 0.19900796933249668
          },
          "population_limit_converged_compositions": {
            "minimum": 0.0,
            "median": 0.0,
            "maximum": 0.0
          }
        },
        "soft_voronoi:6": {
          "fixed_total_rank_range": [
            5,
            5
          ],
          "template_rank_range": [
            5,
            5
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.9799801231830769,
            "median": 0.9799801231830773,
            "maximum": 0.9799801231830774
          },
          "minimum_validation_bin_count": {
            "minimum": 16.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 9.419664860004939e-08,
            "median": 9.419664860114147e-08,
            "maximum": 9.419664860198694e-08
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 2.2896352544904013e-07,
            "median": 2.289635254491042e-07,
            "maximum": 2.2896352545040033e-07
          },
          "population_limit_converged_compositions": {
            "minimum": 11.0,
            "median": 11.0,
            "maximum": 11.0
          }
        },
        "soft_voronoi:8": {
          "fixed_total_rank_range": [
            5,
            5
          ],
          "template_rank_range": [
            5,
            5
          ],
          "fixed_total_d_efficiency": {
            "minimum": 0.9849312958131965,
            "median": 0.9872009441704306,
            "maximum": 0.9876434663042074
          },
          "minimum_validation_bin_count": {
            "minimum": 3.0,
            "median": 16.0,
            "maximum": 16.0
          },
          "population_limit_target_macro_rmse": {
            "minimum": 1.223584520860663e-07,
            "median": 1.2293040686524322e-07,
            "maximum": 1.3309283449710807e-07
          },
          "population_limit_maximum_absolute_mean_bias": {
            "minimum": 3.0565644125293357e-07,
            "median": 3.0657847732413994e-07,
            "maximum": 3.274078643246967e-07
          },
          "population_limit_converged_compositions": {
            "minimum": 11.0,
            "median": 11.0,
            "maximum": 11.0
          }
        }
      }
    },
    "uncertainty_coverage": {
      "protocol": {
        "source": "frozen_reference_templates",
        "draws_per_scenario": 1000,
        "events_per_draw": 20000,
        "boundary_threshold": 2.5e-05,
        "boundary_event_equivalent": 0.5,
        "boundary_dominated_threshold": 0.05,
        "seed": 42026
      },
      "scenarios": {
        "reference_like": {
          "fractions": [
            0.07112750000000002,
            0.019594999999999998,
            0.0149825,
            0.00019,
            0.0081175,
            0.8859874999999999
          ],
          "converged_draws": 1000,
          "total_draws": 1000,
          "maximum_iterations": 1880,
          "classes": {
            "T cells": {
              "status": "interior",
              "truth": 0.07112750000000002,
              "bias": -7.328502534304437e-05,
              "empirical_standard_deviation": 0.001972858256083006,
              "median_local_fisher_error": 0.001947419418323779,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 0.9871055927708996,
              "interior_68_percent_coverage": 0.676
            },
            "B cells": {
              "status": "interior",
              "truth": 0.019594999999999998,
              "bias": -0.00014051467756745492,
              "empirical_standard_deviation": 0.0012249241988129852,
              "median_local_fisher_error": 0.001274653964317195,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0405982391011628,
              "interior_68_percent_coverage": 0.693
            },
            "monocytes": {
              "status": "interior",
              "truth": 0.0149825,
              "bias": -4.198518735030929e-05,
              "empirical_standard_deviation": 0.001050560947454943,
              "median_local_fisher_error": 0.0010923110064653824,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0397407300467258,
              "interior_68_percent_coverage": 0.7
            },
            "mast cells": {
              "status": "boundary_dominated",
              "truth": 0.00019,
              "bias": 0.00037829025771067337,
              "empirical_standard_deviation": 0.0007761284354945472,
              "median_local_fisher_error": 0.0011785286610138585,
              "boundary_hit_fraction": 0.452,
              "interior_standard_error_ratio": null,
              "interior_68_percent_coverage": null
            },
            "HSPCs": {
              "status": "interior",
              "truth": 0.0081175,
              "bias": -0.00011133516891783559,
              "empirical_standard_deviation": 0.0009731904261434047,
              "median_local_fisher_error": 0.0010076263683401628,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0353845879199841,
              "interior_68_percent_coverage": 0.698
            },
            "other": {
              "status": "interior",
              "truth": 0.8859874999999999,
              "bias": -1.1170198531973542e-05,
              "empirical_standard_deviation": 0.0024178005623348153,
              "median_local_fisher_error": 0.002426294044035931,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0035128959077226,
              "interior_68_percent_coverage": 0.684
            }
          }
        },
        "mast_enriched": {
          "fractions": [
            0.07078531170922478,
            0.019500730138726358,
            0.01491042047989118,
            0.005,
            0.008078447405006952,
            0.8817250902671507
          ],
          "converged_draws": 1000,
          "total_draws": 1000,
          "maximum_iterations": 632,
          "classes": {
            "T cells": {
              "status": "interior",
              "truth": 0.07078531170922478,
              "bias": 1.643357672716883e-05,
              "empirical_standard_deviation": 0.0018383219577612388,
              "median_local_fisher_error": 0.001950164714297997,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0608395912721205,
              "interior_68_percent_coverage": 0.712
            },
            "B cells": {
              "status": "interior",
              "truth": 0.019500730138726358,
              "bias": 1.4263014937473603e-05,
              "empirical_standard_deviation": 0.001273678234406517,
              "median_local_fisher_error": 0.0012940744171744195,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.016013607060975,
              "interior_68_percent_coverage": 0.676
            },
            "monocytes": {
              "status": "interior",
              "truth": 0.01491042047989118,
              "bias": 8.683670231826623e-05,
              "empirical_standard_deviation": 0.0011464457659697085,
              "median_local_fisher_error": 0.0011078865326309617,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 0.9663662822234491,
              "interior_68_percent_coverage": 0.661
            },
            "mast cells": {
              "status": "interior",
              "truth": 0.005,
              "bias": -5.274210715681911e-05,
              "empirical_standard_deviation": 0.0015271054098904802,
              "median_local_fisher_error": 0.0014859944407115576,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 0.973079154253097,
              "interior_68_percent_coverage": 0.675
            },
            "HSPCs": {
              "status": "interior",
              "truth": 0.008078447405006952,
              "bias": 2.0917513882010495e-05,
              "empirical_standard_deviation": 0.0010439746299375908,
              "median_local_fisher_error": 0.0010459482004608475,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0018904391607435,
              "interior_68_percent_coverage": 0.694
            },
            "other": {
              "status": "interior",
              "truth": 0.8817250902671507,
              "bias": -8.57087007080819e-05,
              "empirical_standard_deviation": 0.002400034048607657,
              "median_local_fisher_error": 0.002467114597349076,
              "boundary_hit_fraction": 0.0,
              "interior_standard_error_ratio": 1.0279498321202296,
              "interior_68_percent_coverage": 0.691
            }
          }
        }
      }
    }
  },
  "run": {
    "reference_patients": [
      1,
      2,
      3,
      4,
      7,
      10,
      12,
      13,
      14,
      16,
      17,
      18,
      19,
      21,
      22,
      24,
      25,
      26,
      27,
      29
    ],
    "test_patients": [
      5,
      6,
      8,
      9,
      11,
      15,
      20,
      23,
      28,
      30
    ],
    "reference_composition": [
      0.07112750000000002,
      0.019594999999999998,
      0.0149825,
      0.00019,
      0.0081175,
      0.8859874999999999
    ],
    "score_calibration_strategy": "raw_declared_prior",
    "score_temperature": 1.0,
    "score_class_priors": [
      0.16666666666666666,
      0.16666666666666666,
      0.16666666666666666,
      0.16666666666666666,
      0.16666666666666666,
      0.16666666666666666
    ],
    "classifier_test_posterior_evaluations": 1,
    "elapsed_seconds": 207.80280091700843,
    "peak_rss_megabytes": 1867.34375,
    "quick": false,
    "rows": {
      "reference": 400000,
      "test": 200000,
      "partition": 27607,
      "validation": 13796,
      "templates": 99999
    },
    "settings": {
      "operating_n_bins": 8,
      "uncertainty_n_bins": 30,
      "score_max_per_patient_class": 2000,
      "score_max_iter": 120,
      "partition_max_per_patient_class": 512,
      "validation_max_per_patient_class": 256,
      "soft_n_init": 4,
      "soft_max_steps": 160,
      "random_repeats": 20,
      "closure_pseudo_repeats": 20,
      "closure_seed_repeats": 10,
      "uncertainty_coverage_draws": 1000
    },
    "timings_seconds": {
      "score_model_and_scores": 144.5425334169995,
      "partitions_and_baselines_5_bins": 8.05671212496236,
      "partitions_and_baselines_8_bins": 4.146363834035583,
      "partitions_and_baselines_10_bins": 3.628612875007093,
      "partitions_and_baselines_15_bins": 3.9132580409641378,
      "partitions_and_baselines_20_bins": 4.6824880840140395,
      "partitions_and_baselines_30_bins": 5.7276837910176255,
      "reference_only_scientific_closure": 33.10511120897718
    }
  },
  "uncertainty": {
    "n_bins": 30,
    "protocol": {
      "source": "frozen_reference_templates",
      "draws_per_scenario": 1000,
      "events_per_draw": 20000,
      "boundary_threshold": 2.5e-05,
      "boundary_event_equivalent": 0.5,
      "boundary_dominated_threshold": 0.05,
      "seed": 42026
    },
    "scenarios": {
      "reference_like": {
        "fractions": [
          0.07112750000000002,
          0.019594999999999998,
          0.0149825,
          0.00019,
          0.0081175,
          0.8859874999999999
        ],
        "converged_draws": 1000,
        "total_draws": 1000,
        "maximum_iterations": 1880,
        "classes": {
          "T cells": {
            "status": "interior",
            "truth": 0.07112750000000002,
            "bias": -7.328502534304437e-05,
            "empirical_standard_deviation": 0.001972858256083006,
            "median_local_fisher_error": 0.001947419418323779,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 0.9871055927708996,
            "interior_68_percent_coverage": 0.676
          },
          "B cells": {
            "status": "interior",
            "truth": 0.019594999999999998,
            "bias": -0.00014051467756745492,
            "empirical_standard_deviation": 0.0012249241988129852,
            "median_local_fisher_error": 0.001274653964317195,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0405982391011628,
            "interior_68_percent_coverage": 0.693
          },
          "monocytes": {
            "status": "interior",
            "truth": 0.0149825,
            "bias": -4.198518735030929e-05,
            "empirical_standard_deviation": 0.001050560947454943,
            "median_local_fisher_error": 0.0010923110064653824,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0397407300467258,
            "interior_68_percent_coverage": 0.7
          },
          "mast cells": {
            "status": "boundary_dominated",
            "truth": 0.00019,
            "bias": 0.00037829025771067337,
            "empirical_standard_deviation": 0.0007761284354945472,
            "median_local_fisher_error": 0.0011785286610138585,
            "boundary_hit_fraction": 0.452,
            "interior_standard_error_ratio": null,
            "interior_68_percent_coverage": null
          },
          "HSPCs": {
            "status": "interior",
            "truth": 0.0081175,
            "bias": -0.00011133516891783559,
            "empirical_standard_deviation": 0.0009731904261434047,
            "median_local_fisher_error": 0.0010076263683401628,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0353845879199841,
            "interior_68_percent_coverage": 0.698
          },
          "other": {
            "status": "interior",
            "truth": 0.8859874999999999,
            "bias": -1.1170198531973542e-05,
            "empirical_standard_deviation": 0.0024178005623348153,
            "median_local_fisher_error": 0.002426294044035931,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0035128959077226,
            "interior_68_percent_coverage": 0.684
          }
        }
      },
      "mast_enriched": {
        "fractions": [
          0.07078531170922478,
          0.019500730138726358,
          0.01491042047989118,
          0.005,
          0.008078447405006952,
          0.8817250902671507
        ],
        "converged_draws": 1000,
        "total_draws": 1000,
        "maximum_iterations": 632,
        "classes": {
          "T cells": {
            "status": "interior",
            "truth": 0.07078531170922478,
            "bias": 1.643357672716883e-05,
            "empirical_standard_deviation": 0.0018383219577612388,
            "median_local_fisher_error": 0.001950164714297997,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0608395912721205,
            "interior_68_percent_coverage": 0.712
          },
          "B cells": {
            "status": "interior",
            "truth": 0.019500730138726358,
            "bias": 1.4263014937473603e-05,
            "empirical_standard_deviation": 0.001273678234406517,
            "median_local_fisher_error": 0.0012940744171744195,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.016013607060975,
            "interior_68_percent_coverage": 0.676
          },
          "monocytes": {
            "status": "interior",
            "truth": 0.01491042047989118,
            "bias": 8.683670231826623e-05,
            "empirical_standard_deviation": 0.0011464457659697085,
            "median_local_fisher_error": 0.0011078865326309617,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 0.9663662822234491,
            "interior_68_percent_coverage": 0.661
          },
          "mast cells": {
            "status": "interior",
            "truth": 0.005,
            "bias": -5.274210715681911e-05,
            "empirical_standard_deviation": 0.0015271054098904802,
            "median_local_fisher_error": 0.0014859944407115576,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 0.973079154253097,
            "interior_68_percent_coverage": 0.675
          },
          "HSPCs": {
            "status": "interior",
            "truth": 0.008078447405006952,
            "bias": 2.0917513882010495e-05,
            "empirical_standard_deviation": 0.0010439746299375908,
            "median_local_fisher_error": 0.0010459482004608475,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0018904391607435,
            "interior_68_percent_coverage": 0.694
          },
          "other": {
            "status": "interior",
            "truth": 0.8817250902671507,
            "bias": -8.57087007080819e-05,
            "empirical_standard_deviation": 0.002400034048607657,
            "median_local_fisher_error": 0.002467114597349076,
            "boundary_hit_fraction": 0.0,
            "interior_standard_error_ratio": 1.0279498321202296,
            "interior_68_percent_coverage": 0.691
          }
        }
      }
    }
  },
  "source": {
    "title": "FlowCyt ScoreQuant source manifest",
    "source_url": "https://cuicloud.unige.ch/index.php/s/55PHBLEynrp5pN8",
    "source_repository": "https://github.com/VIPER-GENEVA/FlowCyt-Classification-Benchmark",
    "source_license": "CC-BY-NC-SA-4.0",
    "license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
    "seed": 2026,
    "sampling": "component-stratified ranges with largest-remainder allocation from exact FCS totals",
    "max_per_patient": 20000,
    "blocks_per_component": 16,
    "workers": 12,
    "sample_rows": 600000,
    "sample_sha256": "a08e9bf183fe32b913e155d413eeacfdb65c7f99017a42e69c4b91bdde20d987",
    "reference_patients": [
      1,
      2,
      3,
      4,
      7,
      10,
      12,
      13,
      14,
      16,
      17,
      18,
      19,
      21,
      22,
      24,
      25,
      26,
      27,
      29
    ],
    "test_patients": [
      5,
      6,
      8,
      9,
      11,
      15,
      20,
      23,
      28,
      30
    ],
    "feature_names": [
      "FS INT",
      "SS INT",
      "FL1 INT_CD14-FITC",
      "FL2 INT_CD19-PE",
      "FL3 INT_CD13-ECD",
      "FL4 INT_CD33-PC5.5",
      "FL5 INT_CD34-PC7",
      "FL6 INT_CD117-APC",
      "FL7 INT_CD7-APC700",
      "FL8 INT_CD16-APC750",
      "FL9 INT_HLA-PB",
      "FL10 INT_CD45-KO"
    ],
    "class_names": [
      "T cells",
      "B cells",
      "monocytes",
      "mast cells",
      "HSPCs",
      "other"
    ],
    "upstream_file_totals": {
      "Case1_O.fcs": 66439,
      "Case1_N.fcs": 11773,
      "Case1_G.fcs": 12768,
      "Case1_P.fcs": 66,
      "Case1_K.fcs": 3618,
      "Case1_B.fcs": 449803,
      "Case2_O.fcs": 7839,
      "Case2_N.fcs": 2982,
      "Case2_G.fcs": 6073,
      "Case2_P.fcs": 100,
      "Case2_K.fcs": 4921,
      "Case2_B.fcs": 250397,
      "Case3_O.fcs": 49738,
      "Case3_N.fcs": 13307,
      "Case3_G.fcs": 8938,
      "Case3_P.fcs": 86,
      "Case3_K.fcs": 13148,
      "Case3_B.fcs": 501262,
      "Case4_O.fcs": 44914,
      "Case4_N.fcs": 7521,
      "Case4_G.fcs": 16964,
      "Case4_P.fcs": 138,
      "Case4_K.fcs": 7167,
      "Case4_B.fcs": 547788,
      "Case7_O.fcs": 61417,
      "Case7_N.fcs": 7484,
      "Case7_G.fcs": 4753,
      "Case7_P.fcs": 18,
      "Case7_K.fcs": 7510,
      "Case7_B.fcs": 894766,
      "Case10_O.fcs": 68396,
      "Case10_N.fcs": 47653,
      "Case10_G.fcs": 3788,
      "Case10_P.fcs": 136,
      "Case10_K.fcs": 681,
      "Case10_B.fcs": 409780,
      "Case12_O.fcs": 19633,
      "Case12_N.fcs": 1582,
      "Case12_G.fcs": 5116,
      "Case12_P.fcs": 3,
      "Case12_K.fcs": 757,
      "Case12_B.fcs": 476463,
      "Case13_O.fcs": 22788,
      "Case13_N.fcs": 3768,
      "Case13_G.fcs": 8522,
      "Case13_P.fcs": 232,
      "Case13_K.fcs": 2487,
      "Case13_B.fcs": 379684,
      "Case14_O.fcs": 16627,
      "Case14_N.fcs": 4307,
      "Case14_G.fcs": 2156,
      "Case14_P.fcs": 42,
      "Case14_K.fcs": 1494,
      "Case14_B.fcs": 308398,
      "Case16_O.fcs": 43842,
      "Case16_N.fcs": 12719,
      "Case16_G.fcs": 4764,
      "Case16_P.fcs": 11,
      "Case16_K.fcs": 2414,
      "Case16_B.fcs": 189888,
      "Case17_O.fcs": 37995,
      "Case17_N.fcs": 39854,
      "Case17_G.fcs": 20879,
      "Case17_P.fcs": 278,
      "Case17_K.fcs": 10775,
      "Case17_B.fcs": 890420,
      "Case18_O.fcs": 61466,
      "Case18_N.fcs": 6487,
      "Case18_G.fcs": 12614,
      "Case18_P.fcs": 26,
      "Case18_K.fcs": 7408,
      "Case18_B.fcs": 891313,
      "Case19_O.fcs": 12920,
      "Case19_N.fcs": 3656,
      "Case19_G.fcs": 2620,
      "Case19_P.fcs": 27,
      "Case19_K.fcs": 989,
      "Case19_B.fcs": 417054,
      "Case21_O.fcs": 55871,
      "Case21_N.fcs": 14300,
      "Case21_G.fcs": 8307,
      "Case21_P.fcs": 4,
      "Case21_K.fcs": 8509,
      "Case21_B.fcs": 913133,
      "Case22_O.fcs": 46971,
      "Case22_N.fcs": 15616,
      "Case22_G.fcs": 5681,
      "Case22_P.fcs": 38,
      "Case22_K.fcs": 6171,
      "Case22_B.fcs": 925567,
      "Case24_O.fcs": 111218,
      "Case24_N.fcs": 5749,
      "Case24_G.fcs": 10868,
      "Case24_P.fcs": 51,
      "Case24_K.fcs": 5934,
      "Case24_B.fcs": 866237,
      "Case25_O.fcs": 37326,
      "Case25_N.fcs": 576,
      "Case25_G.fcs": 11163,
      "Case25_P.fcs": 30,
      "Case25_K.fcs": 4097,
      "Case25_B.fcs": 946820,
      "Case26_O.fcs": 42925,
      "Case26_N.fcs": 974,
      "Case26_G.fcs": 16500,
      "Case26_P.fcs": 399,
      "Case26_K.fcs": 6174,
      "Case26_B.fcs": 247678,
      "Case27_O.fcs": 8100,
      "Case27_N.fcs": 11386,
      "Case27_G.fcs": 2027,
      "Case27_P.fcs": 4,
      "Case27_K.fcs": 736,
      "Case27_B.fcs": 187730,
      "Case29_O.fcs": 50091,
      "Case29_N.fcs": 3452,
      "Case29_G.fcs": 5826,
      "Case29_P.fcs": 271,
      "Case29_K.fcs": 4929,
      "Case29_B.fcs": 935466,
      "Case5_O.fcs": 52221,
      "Case5_N.fcs": 9787,
      "Case5_G.fcs": 27350,
      "Case5_P.fcs": 160,
      "Case5_K.fcs": 18119,
      "Case5_B.fcs": 892516,
      "Case6_O.fcs": 26920,
      "Case6_N.fcs": 4768,
      "Case6_G.fcs": 30124,
      "Case6_P.fcs": 158,
      "Case6_K.fcs": 14155,
      "Case6_B.fcs": 904826,
      "Case8_O.fcs": 30190,
      "Case8_N.fcs": 10799,
      "Case8_G.fcs": 3064,
      "Case8_P.fcs": 68,
      "Case8_K.fcs": 4022,
      "Case8_B.fcs": 940859,
      "Case9_O.fcs": 13667,
      "Case9_N.fcs": 136,
      "Case9_G.fcs": 4431,
      "Case9_P.fcs": 30,
      "Case9_K.fcs": 8873,
      "Case9_B.fcs": 480588,
      "Case11_O.fcs": 28560,
      "Case11_N.fcs": 5313,
      "Case11_G.fcs": 33976,
      "Case11_P.fcs": 31,
      "Case11_K.fcs": 15824,
      "Case11_B.fcs": 916417,
      "Case15_O.fcs": 86021,
      "Case15_N.fcs": 12369,
      "Case15_G.fcs": 11357,
      "Case15_P.fcs": 51,
      "Case15_K.fcs": 4245,
      "Case15_B.fcs": 807578,
      "Case20_O.fcs": 38406,
      "Case20_N.fcs": 3111,
      "Case20_G.fcs": 4340,
      "Case20_P.fcs": 40,
      "Case20_K.fcs": 3966,
      "Case20_B.fcs": 457477,
      "Case23_O.fcs": 31063,
      "Case23_N.fcs": 8375,
      "Case23_G.fcs": 4699,
      "Case23_P.fcs": 815,
      "Case23_K.fcs": 4822,
      "Case23_B.fcs": 495410,
      "Case28_O.fcs": 24857,
      "Case28_N.fcs": 51,
      "Case28_G.fcs": 10836,
      "Case28_P.fcs": 117,
      "Case28_K.fcs": 6897,
      "Case28_B.fcs": 776482,
      "Case30_O.fcs": 91772,
      "Case30_N.fcs": 867,
      "Case30_G.fcs": 5809,
      "Case30_P.fcs": 149,
      "Case30_K.fcs": 22690,
      "Case30_B.fcs": 878727
    },
    "notes": "Rows are spread deterministically within each upstream labelled component so the bounded sample preserves patient composition. Test labels remain evaluation-only after dataset assembly."
  }
}