Mirror from mmzinn12 for Johnson Lab continuity
Browse files- roi/15hz_invitro_base/roi_classifier.joblib +3 -0
- roi/15hz_invitro_base/roi_classifier_results.json +34 -0
- roi/3hz_invivo_base/invivo_roi_classifier.joblib +3 -0
- roi/3hz_invivo_base/invivo_roi_classifier_results.json +39 -0
- spike/15hz_invitro_base/spike_classifier.joblib +3 -0
- spike/15hz_invitro_base/spike_classifier_results.json +32 -0
- spike/3hz_invivo_base/invivo_spike_classifier.joblib +3 -0
- spike/3hz_invivo_base/invivo_spike_classifier_results.json +32 -0
roi/15hz_invitro_base/roi_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:892003f2073840cb7958d85a1543574dd4738ff70de614d83b993b83e4296c04
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size 349273
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roi/15hz_invitro_base/roi_classifier_results.json
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{
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"best_params": {
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"class_weight": null,
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"max_depth": 30,
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"min_samples_leaf": 1,
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"min_samples_split": 2,
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"n_estimators": 100
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},
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"cv_acc": 0.9730995904505043,
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"test_acc": 0.9661016949152542,
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"roc_auc": 0.9949606299212599,
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"confusion_matrix": [
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[
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48,
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],
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[
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]
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],
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"f1": 0.9662995141559447,
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"precision": 0.9667900912646675,
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"recall": 0.9661016949152542,
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"features": [
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"peak_density",
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"range_trace",
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"derivative_skew",
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"ac_decay",
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"var_of_var"
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],
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"transform": "sqrt",
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"model_type": "RandomForestClassifier"
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}
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roi/3hz_invivo_base/invivo_roi_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:7454dd4a5885a3d3cc6afe2705d2b0cdc32863bde5b586490c4a5841d43ecf78
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size 790009
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roi/3hz_invivo_base/invivo_roi_classifier_results.json
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{
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"best_params": {
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"class_weight": null,
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"max_depth": null,
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"min_samples_leaf": 1,
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"min_samples_split": 10,
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"n_estimators": 200
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},
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"cv_acc": 0.89,
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"test_acc": 0.94,
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"roc_auc": 0.9895833333333333,
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"confusion_matrix": [
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[
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],
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],
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"f1": 0.9392998477929985,
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"precision": 0.9395426195426196,
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"recall": 0.94,
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"features": [
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"var_of_var",
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"derivative_skew",
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"spike_prom_skew",
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"peak_density",
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"ac_decay",
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"range_trace",
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"spike_prom_mean",
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"derivative_asymmetry",
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"snr_estimate",
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"median_spike_prom"
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],
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"transform": "sqrt",
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"model_type": "RandomForestClassifier"
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}
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spike/15hz_invitro_base/spike_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:8943bb8cde27869d6f2464e14b108dc4d3bfd1a29fdde249641603283df0e931
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size 1195
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spike/15hz_invitro_base/spike_classifier_results.json
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{
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"best_params": {
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"C": 1,
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"class_weight": "balanced",
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"max_iter": 200,
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"penalty": "l1",
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"solver": "liblinear"
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},
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"cv_acc": 0.967197640117994,
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"test_acc": 0.9646643109540636,
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"roc_auc": 0.9755868544600937,
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"confusion_matrix": [
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[
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209,
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],
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],
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"f1": 0.9644908152574747,
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"precision": 0.9644458194157769,
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"recall": 0.9646643109540636,
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"features": [
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"spike_prom",
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"mini_prom",
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"distance"
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],
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"transform": "raw",
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"model_type": "LogisticRegression"
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}
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spike/3hz_invivo_base/invivo_spike_classifier.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:11521d7c20e7e7e6f106893661e6916bf6ed697db8d8c4f15683ebb0a90866c9
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size 1119
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spike/3hz_invivo_base/invivo_spike_classifier_results.json
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{
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"best_params": {
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"C": 1,
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"class_weight": null,
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"max_iter": 500,
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"penalty": "l1",
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"solver": "saga"
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},
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"cv_acc": 0.9145372866127582,
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"test_acc": 0.9242424242424242,
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"roc_auc": 0.9658256148195464,
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"confusion_matrix": [
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[
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98,
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],
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[
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],
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"f1": 0.9223656044881354,
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"precision": 0.9228956228956229,
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"recall": 0.9242424242424242,
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"features": [
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"mini_prom",
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"spike_prom",
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"distance"
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],
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"transform": "sqrt",
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"model_type": "LogisticRegression"
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}
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