A hybrid MCAR-SVM phishing detector reaches 98.30% accuracy, but the paper's own comparison shows plain SVM outperforms it at 99.1%.
Detecting Phishing Websites Using Associative Classification
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A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques
A hybrid MCAR-SVM phishing detector reaches 98.30% accuracy, but the paper's own comparison shows plain SVM outperforms it at 99.1%.