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March 29, 2021 15:30
roc evaluation multiclass
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def roc(true_class, predicted_score): | |
print(f"roc_macro_ovr={sklearn.metrics.roc_auc_score(true_class, predicted_score, average='macro', multi_class='ovr')}") | |
print(f"roc_macro_ovo={sklearn.metrics.roc_auc_score(true_class, predicted_score, average='macro', multi_class='ovo')}") | |
print(f"roc_weighted_ovr={sklearn.metrics.roc_auc_score(true_class, predicted_score, average='weighted', multi_class='ovr')}") | |
print(f"roc_weighted_ovo={sklearn.metrics.roc_auc_score(true_class, predicted_score, average='weighted', multi_class='ovo')}") | |
roc(true_class, self.model.predict(self.x_val)) |
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