F1 SCORE

from sklearn.metrics import f1_score

y_true = [0, 1, 2, 0, 1, 2]
y_pred = [0, 2, 1, 0, 0, 1]

y_true

y_pred

f1_score_1 = f1_score(y_true, y_pred, average = 'macro')

f1_score_1

f1_score_2 = f1_score(y_true, y_pred, average = 'micro')

f1_score_2

f1_score_3 = f1_score(y_true, y_pred, average = 'weighted')

f1_score_3

f1_score_4 = f1_score(y_true, y_pred, average = None)

f1_score_4

y_true = [0, 0, 0]
y_pred = [0, 0, 0]

f1_score(y_true, y_pred, zero_division = 1)