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best_model.skops

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model_accuracies.csv

@@ -0,0 +1,13 @@
+,classifier name,imputation_strategy,scaling_strategy,accuracy,precision,recall,model_id,best_params
+5,RandomForestClassifier,most_frequent,RobustScaler(),0.8355,0.8364,0.8355,5,"OrderedDict([('class_weight', 'balanced'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 129)])"
+3,RandomForestClassifier,most_frequent,StandardScaler(),0.8298,0.8317,0.8298,3,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 2), ('n_estimators', 100)])"
+0,RandomForestClassifier,median,StandardScaler(),0.8284,0.8322,0.8284,0,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'gini'), ('min_samples_leaf', 4), ('min_samples_split', 2), ('n_estimators', 128)])"
+7,RandomForestClassifier,knn,MinMaxScaler(),0.8265,0.8284,0.8265,7,"OrderedDict([('class_weight', 'balanced'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 129)])"
+2,RandomForestClassifier,median,RobustScaler(),0.8261,0.8308,0.8261,2,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 133)])"
+9,RandomForestClassifier,iterative,StandardScaler(),0.8261,0.8308,0.8261,9,"OrderedDict([('class_weight', 'balanced'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 126)])"
+1,RandomForestClassifier,median,MinMaxScaler(),0.8232,0.8251,0.8232,1,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'gini'), ('min_samples_leaf', 4), ('min_samples_split', 3), ('n_estimators', 146)])"
+10,RandomForestClassifier,iterative,MinMaxScaler(),0.8218,0.8255,0.8218,10,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'gini'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 100)])"
+4,RandomForestClassifier,most_frequent,MinMaxScaler(),0.8213,0.8213,0.8213,4,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 2), ('n_estimators', 100)])"
+11,RandomForestClassifier,iterative,RobustScaler(),0.8180,0.8246,0.8180,11,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'gini'), ('min_samples_leaf', 4), ('min_samples_split', 3), ('n_estimators', 146)])"
+6,RandomForestClassifier,knn,StandardScaler(),0.8166,0.8251,0.8166,6,"OrderedDict([('class_weight', 'balanced'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 3), ('n_estimators', 127)])"
+8,RandomForestClassifier,knn,RobustScaler(),0.8129,0.8242,0.8129,8,"OrderedDict([('class_weight', 'balanced_subsample'), ('criterion', 'entropy'), ('min_samples_leaf', 4), ('min_samples_split', 4), ('n_estimators', 101)])"

model_info.json

@@ -0,0 +1,11 @@
+{
+    "metric_params": {},
+    "requirements": {
+        "spikeinterface": "0.102.0",
+        "scikit-learn": "1.4.2"
+    },
+    "label_conversion": {
+        "0": 0,
+        "1": 1
+    }
+}