X has 386 features, but MultinomialNB is expecting 11076 features as input.
时间: 2024-05-26 11:15:33 浏览: 8
This error message indicates that there is a mismatch in the number of features between your training data and the Multinomial Naive Bayes model that you are trying to use for classification. In this case, your training data has 386 features while the model expects 11076 features.
To resolve this issue, you can try one of the following approaches:
1. Use a different model that is compatible with the number of features in your training data.
2. Transform your training data to match the number of features expected by the Multinomial Naive Bayes model. This can be done using techniques such as feature extraction, feature selection, or dimensionality reduction.
3. Ensure that your training data and model are properly aligned and that the features are correctly labeled and matched.
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