test_classification.py 文件源码

def test_precision_recall_f1_score_multiclass_pos_label_none():
    # Test Precision Recall and F1 Score for multiclass classification task
    # GH Issue #1296
    # initialize data
    y_true = np.array([0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1])
    y_pred = np.array([1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1])

    # compute scores with default labels introspection
    p, r, f, s = precision_recall_fscore_support(y_true, y_pred,
                                                 pos_label=None,
                                                 average='weighted')