Дополните код перекрестной проверки с контролем по k-блокам:N = features.shape[0]K = 10 preds_kfold = np.Blank 1 Вопрос 12 arangezerosemptyonesrandint (N)folds = np.random.randint(0, К, size=N)for idx in np.Blank 2 Вопрос 12 arangezerosemptyonesrandint (K): features_train = features[folds != idx,:] target_train = target[folds != idx] features_test = features[folds == idx,:] model = train(features_train,
target_train) preds_kfold[folds == idx] =
predict(model, features_test)
accuracy = evaluate_acc(preds_kfold, target)