[
  {
    "epoch": 1,
    "train": {
      "loss": 0.8112331933301428,
      "endpoint_loss": 0.6247691171972648,
      "midfiller_loss": 0.6853943784599719,
      "endfiller_loss": 0.5576994076533162,
      "batches": 184.0
    },
    "validation": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.5,
      "tp": 87,
      "fp": 35,
      "tn": 131,
      "fn": 73,
      "accuracy": 0.6687116564417178,
      "precision": 0.7131147540983607,
      "recall": 0.54375,
      "specificity": 0.7891566265060241,
      "f1": 0.6170212765957447,
      "macro_f1": 0.6625646923519264,
      "false_positive_rate": 0.21084337349397592,
      "false_negative_rate": 0.45625,
      "balanced_accuracy": 0.666453313253012,
      "brier_score": 0.2133037066638398,
      "log_loss": 0.6135001064370812,
      "expected_calibration_error": 0.1055241439925747,
      "roc_auc": 0.7389683734939759,
      "average_precision": 0.6880689959324726,
      "loss": 0.8091404239336649,
      "endpoint_loss": 0.6231995608125415,
      "midfiller_loss": 0.6875903748330616,
      "endfiller_loss": 0.5520152946313223
    },
    "operating_point": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.741000771522522,
      "tp": 10,
      "fp": 3,
      "tn": 163,
      "fn": 150,
      "accuracy": 0.5306748466257669,
      "precision": 0.7692307692307693,
      "recall": 0.0625,
      "specificity": 0.9819277108433735,
      "f1": 0.11560693641618497,
      "macro_f1": 0.39809574378220525,
      "false_positive_rate": 0.018072289156626505,
      "false_negative_rate": 0.9375,
      "balanced_accuracy": 0.5222138554216867,
      "brier_score": 0.2133037066638398,
      "log_loss": 0.6135001064370812,
      "expected_calibration_error": 0.1055241439925747,
      "roc_auc": 0.7389683734939759,
      "average_precision": 0.6880689959324726,
      "max_false_positive_rate": 0.02
    },
    "selection_metric": "average_precision",
    "selection_score": 0.6880689959324726
  },
  {
    "epoch": 2,
    "train": {
      "loss": 0.7716876291062521,
      "endpoint_loss": 0.5933755824099416,
      "midfiller_loss": 0.6795369140479876,
      "endfiller_loss": 0.509210002001213,
      "batches": 184.0
    },
    "validation": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.5,
      "tp": 90,
      "fp": 35,
      "tn": 131,
      "fn": 70,
      "accuracy": 0.6779141104294478,
      "precision": 0.72,
      "recall": 0.5625,
      "specificity": 0.7891566265060241,
      "f1": 0.631578947368421,
      "macro_f1": 0.6727377025670442,
      "false_positive_rate": 0.21084337349397592,
      "false_negative_rate": 0.4375,
      "balanced_accuracy": 0.6758283132530121,
      "brier_score": 0.22635477498241185,
      "log_loss": 0.6543500272417283,
      "expected_calibration_error": 0.1384671899415781,
      "roc_auc": 0.7364081325301205,
      "average_precision": 0.6798161080938658,
      "loss": 0.8515320391882033,
      "endpoint_loss": 0.6683251517159599,
      "midfiller_loss": 0.6750339553469703,
      "endfiller_loss": 0.5463452097915468
    },
    "operating_point": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.7851117253303528,
      "tp": 8,
      "fp": 3,
      "tn": 163,
      "fn": 152,
      "accuracy": 0.5245398773006135,
      "precision": 0.7272727272727273,
      "recall": 0.05,
      "specificity": 0.9819277108433735,
      "f1": 0.09356725146198831,
      "macro_f1": 0.385660964608333,
      "false_positive_rate": 0.018072289156626505,
      "false_negative_rate": 0.95,
      "balanced_accuracy": 0.5159638554216868,
      "brier_score": 0.22635477498241185,
      "log_loss": 0.6543500272417283,
      "expected_calibration_error": 0.1384671899415781,
      "roc_auc": 0.7364081325301205,
      "average_precision": 0.6798161080938658,
      "max_false_positive_rate": 0.02
    },
    "selection_metric": "average_precision",
    "selection_score": 0.6798161080938658
  },
  {
    "epoch": 3,
    "train": {
      "loss": 0.7457307936704677,
      "endpoint_loss": 0.5733935751992724,
      "midfiller_loss": 0.6716668272148008,
      "endfiller_loss": 0.4772479092783254,
      "batches": 184.0
    },
    "validation": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.5,
      "tp": 107,
      "fp": 58,
      "tn": 108,
      "fn": 53,
      "accuracy": 0.6595092024539877,
      "precision": 0.6484848484848484,
      "recall": 0.66875,
      "specificity": 0.6506024096385542,
      "f1": 0.6584615384615384,
      "macro_f1": 0.6595059985885674,
      "false_positive_rate": 0.3493975903614458,
      "false_negative_rate": 0.33125,
      "balanced_accuracy": 0.659676204819277,
      "brier_score": 0.2104224030226976,
      "log_loss": 0.6094805091499231,
      "expected_calibration_error": 0.0882010340713467,
      "roc_auc": 0.7430722891566265,
      "average_precision": 0.6735176002942638,
      "loss": 0.8020384936105638,
      "endpoint_loss": 0.6224913384233203,
      "midfiller_loss": 0.6668856285867237,
      "endfiller_loss": 0.5300953523034141
    },
    "operating_point": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.8107686638832092,
      "tp": 6,
      "fp": 3,
      "tn": 163,
      "fn": 154,
      "accuracy": 0.5184049079754601,
      "precision": 0.6666666666666666,
      "recall": 0.0375,
      "specificity": 0.9819277108433735,
      "f1": 0.07100591715976332,
      "macro_f1": 0.37297707866269736,
      "false_positive_rate": 0.018072289156626505,
      "false_negative_rate": 0.9625,
      "balanced_accuracy": 0.5097138554216868,
      "brier_score": 0.2104224030226976,
      "log_loss": 0.6094805091499231,
      "expected_calibration_error": 0.0882010340713467,
      "roc_auc": 0.7430722891566265,
      "average_precision": 0.6735176002942638,
      "max_false_positive_rate": 0.02
    },
    "selection_metric": "average_precision",
    "selection_score": 0.6735176002942638
  },
  {
    "epoch": 4,
    "train": {
      "loss": 0.7151103534776232,
      "endpoint_loss": 0.545611237378224,
      "midfiller_loss": 0.6672791132460469,
      "endfiller_loss": 0.4627149628232355,
      "batches": 184.0
    },
    "validation": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.5,
      "tp": 104,
      "fp": 48,
      "tn": 118,
      "fn": 56,
      "accuracy": 0.6809815950920245,
      "precision": 0.6842105263157895,
      "recall": 0.65,
      "specificity": 0.7108433734939759,
      "f1": 0.6666666666666667,
      "macro_f1": 0.6803921568627451,
      "false_positive_rate": 0.2891566265060241,
      "false_negative_rate": 0.35,
      "balanced_accuracy": 0.6804216867469879,
      "brier_score": 0.2190152650089597,
      "log_loss": 0.636617047729713,
      "expected_calibration_error": 0.08879763257055562,
      "roc_auc": 0.7379894578313253,
      "average_precision": 0.6722758091033118,
      "loss": 0.8292656909851801,
      "endpoint_loss": 0.6504799709433601,
      "midfiller_loss": 0.6636045092628116,
      "endfiller_loss": 0.5283001973515465
    },
    "operating_point": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.8202869892120361,
      "tp": 9,
      "fp": 3,
      "tn": 163,
      "fn": 151,
      "accuracy": 0.5276073619631901,
      "precision": 0.75,
      "recall": 0.05625,
      "specificity": 0.9819277108433735,
      "f1": 0.10465116279069768,
      "macro_f1": 0.3919089147286821,
      "false_positive_rate": 0.018072289156626505,
      "false_negative_rate": 0.94375,
      "balanced_accuracy": 0.5190888554216867,
      "brier_score": 0.2190152650089597,
      "log_loss": 0.636617047729713,
      "expected_calibration_error": 0.08879763257055562,
      "roc_auc": 0.7379894578313253,
      "average_precision": 0.6722758091033118,
      "max_false_positive_rate": 0.02
    },
    "selection_metric": "average_precision",
    "selection_score": 0.6722758091033118
  },
  {
    "epoch": 5,
    "train": {
      "loss": 0.6795681293891824,
      "endpoint_loss": 0.5139337580489076,
      "midfiller_loss": 0.663525097720001,
      "endfiller_loss": 0.44070399487796036,
      "batches": 184.0
    },
    "validation": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.5,
      "tp": 80,
      "fp": 36,
      "tn": 130,
      "fn": 80,
      "accuracy": 0.6441717791411042,
      "precision": 0.6896551724137931,
      "recall": 0.5,
      "specificity": 0.7831325301204819,
      "f1": 0.5797101449275363,
      "macro_f1": 0.635599753314832,
      "false_positive_rate": 0.21686746987951808,
      "false_negative_rate": 0.5,
      "balanced_accuracy": 0.641566265060241,
      "brier_score": 0.24880196148222145,
      "log_loss": 0.7372852665680427,
      "expected_calibration_error": 0.17970305932628597,
      "roc_auc": 0.7265813253012048,
      "average_precision": 0.672628733389781,
      "loss": 0.936880866686503,
      "endpoint_loss": 0.7509916793732416,
      "midfiller_loss": 0.6651855749743325,
      "endfiller_loss": 0.5740756179605212
    },
    "operating_point": {
      "count": 326,
      "positive_count": 160,
      "negative_count": 166,
      "threshold": 0.832100510597229,
      "tp": 5,
      "fp": 3,
      "tn": 163,
      "fn": 155,
      "accuracy": 0.5153374233128835,
      "precision": 0.625,
      "recall": 0.03125,
      "specificity": 0.9819277108433735,
      "f1": 0.05952380952380952,
      "macro_f1": 0.36653876426603704,
      "false_positive_rate": 0.018072289156626505,
      "false_negative_rate": 0.96875,
      "balanced_accuracy": 0.5065888554216867,
      "brier_score": 0.24880196148222145,
      "log_loss": 0.7372852665680427,
      "expected_calibration_error": 0.17970305932628597,
      "roc_auc": 0.7265813253012048,
      "average_precision": 0.672628733389781,
      "max_false_positive_rate": 0.02
    },
    "selection_metric": "average_precision",
    "selection_score": 0.672628733389781
  }
]