Identify spam e-mail and Naïve Bayes classification
The Naïve Bayes classification presumes that all attributes are independent; it simplifies the Bayes classification and doesn't need the related probability computation. The likelihood can be defined with the following equation:
Some of the characteristics of the Naïve Bayes classification are as follows:
- Robust to isolated noise
- Robust to irrelevant attributes
- Its performance might degrade due to correlated attributes in the input dataset
The Naïve Bayes classification
The pseudocode of the Naïve Bayes classification algorithm, with minor differences from the Bayes classification algorithm, is as follows: ...
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