When executing: y_test_pred = clf.predict(x_test_transf) I get this error: ValueError: X has 1646 features, but MultinomialNB is expecting 3810 features as input. Which appears to mean that the Multinominal is expecting a shape for the model that is different from what the shape of the model is. In other words, it's not balanced. As much as I would like to try to balance the model myself. I think I would do more harm than good so if you could either balance the model or tell me where I'm going wrong it would be most appreciated. Thanks..

Hey Timothy, Thank you for your question! This error might be caused by something that you have done up in the code. Unfortunately, I cannot reproduce the error you are getting and cannot help you with a solution. What I can suggest is to restart the notebook from Kernel -> Restart and run everything anew. Note that it is important to execute the cells in order. Kind regards, 365 Hristina

So I did get your notebook to work finally. I'm going to have to go over what I did. Thank you so much for the confirmation that I was doing something wrong.

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Timothy Pecoraro

Last answered:

06 Apr 2022

Posted on:

06 Apr 2022

Your model doesn't appear to be balanced?

in Machine Learning with Naïve Bayes / The YouTube Dataset: Confusion matrix

2 answers ( 0 marked as helpful)

Hristina Hristova

Posted on:

06 Apr 2022

Timothy Pecoraro

Posted on:

06 Apr 2022

Your model doesn't appear to be balanced?

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