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Naive Bayes Classifier
Definition
The Naïve Bayes classifier is a supervised machine learning algorithm, which is used for classification tasks, like text classification. It is also part of a family of generative learning algorithms, meaning that it seeks to model the distribution of inputs of a given class or category.
References
Naive Bayes. IBM. Link.
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