————————————————————————— ValueError Traceback (most recent call last) Cell In[173], line 79 76 print(X_combined.shape) 78 # ナイーブベイズモデルを使用して予測を行う —> 79 y_predicted_nb = best_model.predict(X_combined) 81 # ランダムフォレストモデルを使用して予測を行う 82 # ナイーブベイズの予測を含む新しい特徴量を作成 83 nb_predictions = best_model.predict(X_combined) File /home/share/temp/venv/lib/python3.8/site-packages/imblearn/pipeline.py:453, in Pipeline.predict(self, X, **params) 451 for _, name, transform in self._iter(with_final=False): 452 Xt = transform.transform(Xt) –> 453 return self.steps[-1][1].predict(Xt, **params) 455 # metadata routing enabled 456 routed_params = process_routing(self, “predict”, **params) File /home/share/temp/venv/lib/python3.8/site-packages/sklearn/naive_bayes.py:101, in _BaseNB.predict(self, X) 87 “”” 88 Perform classification on an array of test vectors X. 89 (…) 98 Predicted target values for X. 99 “”” 100 check_is_fitted(self) … 416 f”X has {n_features} features, but {self.__class__.__name__} ” 417 f”is expecting {self.n_features_in_} features as input.” 418 ) ValueError: X has 671617 features, but MultinomialNB is expecting 58302 features as input. Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings…