{
  "model_name": "seqsleepnet-phan",
  "dataset_name": "mass_ss02",
  "n_folds": 5,
  "n_classes": 5,
  "class_names": [
    "W",
    "N1",
    "N2",
    "N3",
    "REM"
  ],
  "n_subjects": 19,
  "probe_config": {
    "max_epochs": 100,
    "lr": 0.001,
    "weight_decay": 0.0001,
    "batch_size": 512
  },
  "per_fold": [
    {
      "fold": 0,
      "accuracy": 0.9132,
      "macro_f1": 0.8576,
      "kappa": 0.8665,
      "per_class_f1": {
        "W": 0.8708,
        "N1": 0.6483,
        "N2": 0.9377,
        "N3": 0.9187,
        "REM": 0.9127
      },
      "support": {
        "W": 309,
        "N1": 234,
        "N2": 3021,
        "N3": 1242,
        "REM": 1034
      },
      "n_train_subjects": 15,
      "n_test_subjects": 4,
      "n_train_epochs": 20692,
      "n_test_epochs": 5840,
      "confusion_matrix": [
        [
          273,
          19,
          9,
          0,
          8
        ],
        [
          31,
          165,
          19,
          0,
          19
        ],
        [
          6,
          49,
          2859,
          28,
          79
        ],
        [
          0,
          0,
          163,
          1079,
          0
        ],
        [
          8,
          42,
          27,
          0,
          957
        ]
      ]
    },
    {
      "fold": 1,
      "accuracy": 0.9147,
      "macro_f1": 0.8517,
      "kappa": 0.865,
      "per_class_f1": {
        "W": 0.8794,
        "N1": 0.6181,
        "N2": 0.9356,
        "N3": 0.8917,
        "REM": 0.9335
      },
      "support": {
        "W": 292,
        "N1": 193,
        "N2": 2981,
        "N3": 907,
        "REM": 1092
      },
      "n_train_subjects": 15,
      "n_test_subjects": 4,
      "n_train_epochs": 21067,
      "n_test_epochs": 5465,
      "confusion_matrix": [
        [
          248,
          28,
          10,
          0,
          6
        ],
        [
          11,
          106,
          45,
          0,
          31
        ],
        [
          9,
          12,
          2774,
          137,
          49
        ],
        [
          0,
          0,
          67,
          840,
          0
        ],
        [
          4,
          4,
          53,
          0,
          1031
        ]
      ]
    },
    {
      "fold": 2,
      "accuracy": 0.8736,
      "macro_f1": 0.8285,
      "kappa": 0.8237,
      "per_class_f1": {
        "W": 0.8928,
        "N1": 0.6112,
        "N2": 0.9108,
        "N3": 0.8296,
        "REM": 0.8983
      },
      "support": {
        "W": 775,
        "N1": 444,
        "N2": 2449,
        "N3": 733,
        "REM": 1036
      },
      "n_train_subjects": 15,
      "n_test_subjects": 4,
      "n_train_epochs": 21095,
      "n_test_epochs": 5437,
      "confusion_matrix": [
        [
          687,
          30,
          9,
          0,
          49
        ],
        [
          71,
          224,
          52,
          0,
          97
        ],
        [
          3,
          29,
          2201,
          201,
          15
        ],
        [
          0,
          0,
          71,
          662,
          0
        ],
        [
          3,
          6,
          51,
          0,
          976
        ]
      ]
    },
    {
      "fold": 3,
      "accuracy": 0.9139,
      "macro_f1": 0.8768,
      "kappa": 0.8742,
      "per_class_f1": {
        "W": 0.9238,
        "N1": 0.6926,
        "N2": 0.9362,
        "N3": 0.9014,
        "REM": 0.9299
      },
      "support": {
        "W": 759,
        "N1": 358,
        "N2": 2801,
        "N3": 868,
        "REM": 998
      },
      "n_train_subjects": 15,
      "n_test_subjects": 4,
      "n_train_epochs": 20748,
      "n_test_epochs": 5784,
      "confusion_matrix": [
        [
          685,
          39,
          13,
          0,
          22
        ],
        [
          18,
          240,
          82,
          0,
          18
        ],
        [
          14,
          27,
          2679,
          51,
          30
        ],
        [
          0,
          0,
          114,
          754,
          0
        ],
        [
          7,
          29,
          34,
          0,
          928
        ]
      ]
    },
    {
      "fold": 4,
      "accuracy": 0.9348,
      "macro_f1": 0.9042,
      "kappa": 0.907,
      "per_class_f1": {
        "W": 0.9295,
        "N1": 0.7446,
        "N2": 0.948,
        "N3": 0.9359,
        "REM": 0.9631
      },
      "support": {
        "W": 515,
        "N1": 254,
        "N2": 1836,
        "N3": 651,
        "REM": 750
      },
      "n_train_subjects": 16,
      "n_test_subjects": 3,
      "n_train_epochs": 22526,
      "n_test_epochs": 4006,
      "confusion_matrix": [
        [
          481,
          16,
          15,
          0,
          3
        ],
        [
          24,
          172,
          42,
          0,
          16
        ],
        [
          8,
          20,
          1778,
          13,
          17
        ],
        [
          1,
          0,
          66,
          584,
          0
        ],
        [
          6,
          0,
          14,
          0,
          730
        ]
      ]
    }
  ],
  "pooled": {
    "accuracy": 0.9088,
    "macro_f1": 0.8642,
    "kappa": 0.8657,
    "per_class_f1": {
      "W": 0.9047,
      "N1": 0.662,
      "N2": 0.9334,
      "N3": 0.8958,
      "REM": 0.9252
    },
    "support": {
      "W": 2650,
      "N1": 1483,
      "N2": 13088,
      "N3": 4401,
      "REM": 4910
    },
    "confusion_matrix": [
      [
        2374,
        132,
        56,
        0,
        88
      ],
      [
        155,
        907,
        240,
        0,
        181
      ],
      [
        40,
        137,
        12291,
        430,
        190
      ],
      [
        1,
        0,
        481,
        3919,
        0
      ],
      [
        28,
        81,
        179,
        0,
        4622
      ]
    ]
  },
  "mean_std": {
    "accuracy": {
      "mean": 0.91,
      "std": 0.0199
    },
    "macro_f1": {
      "mean": 0.8638,
      "std": 0.0254
    },
    "kappa": {
      "mean": 0.8673,
      "std": 0.0266
    }
  }
}