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This project evaluated Decision tree, Naïve Bayesian, and SVM classifiers on a phishing dataset to detect website types as legitimate or phishing. Its goal was to identify effective classifiers for classification performance.

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This project evaluated Decision tree, Naïve Bayesian, and SVM classifiers on a phishing dataset to detect website types as legitimate or phishing. Its goal was to identify effective classifiers for classification performance.

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