---------------------------------------------------------------------------ValueError????????????????????????????????Traceback?(most?recent?call?last)<ipython-input-12-b521df40db00>?in?<module>??????1?#分離后模型預(yù)測的準(zhǔn)確率---->?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]
2020-07-17
這樣你在比對的時候，y_train是取的訓(xùn)練集中的label，y_test_pred是預(yù)測的測試集的label，兩個維度不同當(dāng)然不能比對
2020-04-20
檢查樣本維度。