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SMS spam classifier

By Darren Fernandes

Original Source Code link Data Souces link

Applied multiple Machine Learning algorithms to detect spam messages among mulitple ham (normal) messages. Results of my analysis:

Classifier Accuracy
Naive Bayes 87.3 %
Support Vector Machine (RBF kernel) 97.7 %
K Nearest Neighbor 92.6 %
Multinomial Naive Bayes 98.3 %
Decision Tree 94.6 %
Logistic Regression 95.5 %
Random Forest 98.1 %

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