CODE EXAMPLE FOR 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')