Naive Bayes Classification Iteration
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Hello,
I am using the Naive Bayes Classifier on a binary image dataset. The classifier seems to return different sets of data on the first and second runs. If I clear all the data and run it, I get one set of results, and if (without clearing), I run it a second time on the same set of data, I get a different (mostly overlapping) set of results.
Is there an explanation for this? Is the classifier using the information from the first time during the second run?
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