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Email Spam Classification with Naive Bayes by vedanti.shedage.aids.2022 is a document available to read on EtoBox.
What is Email Spam Classification with Naive Bayes about?
The document outlines a process for building a spam classifier using a dataset of emails. It includes data preprocessing, splitting the dataset into training and testing sets, vectorizing the text with TF-IDF, training a Multinomial Naive Bayes model, and evaluating its performance. The model achieved an accuracy of 97.67% and successfully predicted the category of custom email samples.
- Author
- vedanti.shedage.aids.2022
- Language
- EN