Phishing Website Detection using Machine Learning

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I have a semester project where I have to detect phishing website using ML. I have been using support vector binary classifier which is trained on an existing dataset to predict that whether a website is legitimate or not. The problem is SVMs need high calculations to train our data and are delicate with noisy data. Therefore, there is a high chance of overfitting. Is there any other classification model which will help to optimize my model?

1 Answers

I have done the similar project in my Engineering days, i used NB Classifier.

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