Naive Bayes classification remains a cornerstone of machine learning, renowned for its simplicity, efficiency, and interpretability. This probabilistic approach leverages Bayes’ theorem under the ...
Notice that all the data values are categorical (non-numeric). This is a key characteristic of the naive Bayes classification technique presented in this article . If you have numeric data, such as a ...
Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...
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