python-scikit-learnHow to get model F1 score

Usage example

from sklearn import datasets, neighbors, model_selection, metrics

X, y = datasets.load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = model_selection.train_test_split(X, y)

model = neighbors.KNeighborsClassifier(3)
model.fit(X_train, y_train)
y_pred = model.predict(X_test)

f1 = metrics.f1_score(y_pred, y_test,average='weighted')
print(f1)

output

0.9473684210526315