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  • In this post you will discover the Naive Bayes algorithm for classification.
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  • The accuracy is trying to utilize feature selection to obtain more accurate classification results.
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  • The model comprises two types of probabilities that can be calculated directly from the training data: (i) the probability of each class and (ii) the conditional probability for each class given each x value.
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    The Naive Bayes algorithm is an extremely common tool in the data science world.

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    Naive Bayes falls under the umbrella of supervised machine learning algorithms.