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 % |