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I implemented a Gaussian Naive Bayes classifier and I got a test score (99,99%) higher than the train score (96,87%) Is this normal or does it mean that my model is underfitting ? Thank you.

biihu
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1 Answers1

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Higher performance on test data set relative to train data set can happen for many reasons. Mostly likely it is due to chance.

Brian Spiering
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