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I want to use the sample_weights parameter in sklearn Naive Bayes classification.

I have seen online that it can be used to balance data but I have also seen that it can be used to weight data with different importance.

I have data for which I have greater confidence in and thus would like the algorithm to consider this.

  • Is weighting data using sample_weights the correct way to do this?
  • What does sample_weights actually do in the sklearn Naive Bayes classification algorithm?
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