PYTHON

precision recall python

import numpy as np
from sklearn.metrics import precision_recall_fscore_support
y_true = np.array(['cat', 'dog', 'pig', 'cat', 'dog', 'pig'])
y_pred = np.array(['cat', 'pig', 'dog', 'cat', 'cat', 'dog'])
precision_recall_fscore_support(y_true, y_pred, average='macro')

precision_recall_fscore_support(y_true, y_pred, average='micro')

precision_recall_fscore_support(y_true, y_pred, average='weighted')

precision accuracy recall python example

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print('Accuracy: %.3f' % accuracy_score(y_test, y_pred))