---------------------------------------------------------------------------ValueError                                Traceback (most recent call last)<ipython-input-12-b521df40db00> in <module>      1 #分离后模型预测的准确率----> 2 print(accuracy_score(y_train,y_test_pred))D:\Anaconda\lib\site-packages\sklearn\metrics\_classification.py in accuracy_score(y_true, y_pred, normalize, sample_weight)    183     184     # Compute accuracy for each possible representation--> 185     y_type, y_true, y_pred = _check_targets(y_true, y_pred)    186     check_consistent_length(y_true, y_pred, sample_weight)    187     if y_type.startswith('multilabel'):D:\Anaconda\lib\site-packages\sklearn\metrics\_classification.py in _check_targets(y_true, y_pred)     78     y_pred : array or indicator matrix     79     """---> 80     check_consistent_length(y_true, y_pred)     81     type_true = type_of_target(y_true)     82     type_pred = type_of_target(y_pred)D:\Anaconda\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays)    210     if len(uniques) > 1:    211         raise ValueError("Found input variables with inconsistent numbers of"--> 212                          " samples: %r" % [int(l) for l in lengths])    213     214 ValueError: Found input variables with inconsistent numbers of samples: [90, 60]