from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
from sklearn.metrics import confusion_matrix

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

precision_score(y_true = y_true, y_pred = y_pred)  # 0.88888888888888884
recall_score(y_true = y_true, y_pred = y_pred)     # 1.0
f1_score(y_true = y_true, y_pred = y_pred)         # 0.94117647058823528
confusion_matrix(y_true = y_true, y_pred = y_pred)
# array([[4, 1],
#        [0, 8]])