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Created December 14, 2022 16:31
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gistfile1.txt
from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, confusion_matrix
skplt.metrics.plot_confusion_matrix(y_true, y_pred, figsize=(12,12), x_tick_rotation=90)
print('f1_score:', f1_score(y_true, y_pred, average="macro"))
print('precision_score:', precision_score(y_true, y_pred, average="macro"))
print('recall_score:', recall_score(y_true, y_pred, average="macro"))
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