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ea-decoder-channel-xgboost

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ea-decoder-channel-xgboost
File size: 2,706 Bytes
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{
  "model_id": "2026_W32_Cosmos_guiltless-orange-mallard",
  "task": "region-classification",
  "model_class": "xgboost.sklearn.XGBClassifier",
  "vintage": "2026_W32",
  "artifacts": {
    "weights": "model.ubj",
    "folds": [
      "FOLD00",
      "FOLD01",
      "FOLD02",
      "FOLD03",
      "FOLD04"
    ]
  },
  "training": {
    "random_seed": 12345,
    "hash_testing": null,
    "hash_training": "8ca9ba837f320718e6bb9c6daaca680f110f503748404124ad9d221803083d92",
    "testing_size": 0,
    "training_size": 765
  },
  "environment": {
    "python": "3.12.10",
    "xgboost": "3.4.0",
    "scikit_learn": "1.8.0",
    "numpy": "2.4.6",
    "pandas": "3.0.5",
    "ephysatlas": "0.7.0"
  },
  "method": "xgboost",
  "granularity": "channel",
  "inputs": {
    "table": "raw_ephys_features_denoised.pqt",
    "index": [
      "pid",
      "channel"
    ],
    "features": [
      "rms_lf",
      "psd_lfp",
      "psd_delta",
      "psd_theta",
      "psd_alpha",
      "psd_beta",
      "psd_gamma",
      "psd_residual_lfp",
      "psd_residual_delta",
      "psd_residual_theta",
      "psd_residual_alpha",
      "psd_residual_beta",
      "psd_residual_gamma",
      "aperiodic_offset",
      "aperiodic_exponent",
      "decay_fit_error",
      "decay_fit_r_squared",
      "decay_n_peaks",
      "rms_lf_csd",
      "psd_delta_csd",
      "psd_theta_csd",
      "psd_alpha_csd",
      "psd_beta_csd",
      "psd_gamma_csd",
      "psd_lfp_csd",
      "rms_lf_csd_diff1",
      "psd_delta_csd_diff1",
      "psd_theta_csd_diff1",
      "psd_alpha_csd_diff1",
      "psd_beta_csd_diff1",
      "psd_gamma_csd_diff1",
      "psd_lfp_csd_diff1",
      "rms_ap",
      "cor_ratio",
      "channel_labels",
      "alpha_mean",
      "alpha_std",
      "depolarisation_slope",
      "peak_time_secs",
      "peak_val",
      "polarity",
      "recovery_slope",
      "recovery_time_secs",
      "repolarisation_slope",
      "spike_count",
      "tip_time_secs",
      "tip_val",
      "trough_time_secs",
      "trough_val",
      "outside"
    ]
  },
  "outputs": {
    "kind": "categorical",
    "columns": [
      "predicted_acronym",
      "predicted_atlas_id",
      "prediction_probability",
      "fold_agreement"
    ]
  },
  "config": {
    "classes": [
      0,
      313,
      315,
      512,
      549,
      623,
      698,
      703,
      997,
      1065,
      1089,
      1097,
      2000
    ],
    "class_acronyms": [
      "void",
      "MB",
      "Isocortex",
      "CB",
      "TH",
      "CNU",
      "OLF",
      "CTXsp",
      "root",
      "HB",
      "HPF",
      "HY",
      "void_fluid"
    ],
    "region_map": "Cosmos",
    "accuracy": 0.5961873638344226
  }
}