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The first two are features (weather and temperature) and the third is the target label (whether or not children go out to play). Mar 16, 2023 · In this study, the Naïve Bayes algorithm is applied to determine water quality in the Jakarta area and produces an accuracy rate of water classification results in the DKI Jakarta area of 50.
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  • The algorithm is formally justified by the assumption that the data are generated by a mixture model, and the components of this.
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    We’ve already seen period disambiguation (deciding if a period is the end of a sen-tence or part of a word), and word tokenization (deciding if a character should be a word boundary).

  • Along the road, you have also learned model building and evaluation in scikit-learn for binary and multinomial classes.
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    Naive Bayes classifiers assign observations to the most probable class (in other words, the maximum a posteriori decision rule).

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