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Comparison of six popular strategies in spam email detection

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2 Commits
Dataset.zip
Dataset.zip
 
 
Decision Tree.ipynb
Decision Tree.ipynb
 
 
Improved SVM.ipynb
Improved SVM.ipynb
 
 
KNN with feature selection.ipynb
KNN with feature selection.ipynb
 
 
KNN.ipynb
KNN.ipynb
 
 
Logistic Regression.ipynb
Logistic Regression.ipynb
 
 
Naive Bayes.ipynb
Naive Bayes.ipynb
 
 
PCA and Logistic Regression.ipynb
PCA and Logistic Regression.ipynb
 
 
README.md
README.md
 
 
Random Forest.ipynb
Random Forest.ipynb
 
 
SVM.ipynb
SVM.ipynb
 
 

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Spam-email-detection

I have trained 6 famous spam detection models on SPAMBASE dataset from UCI machine learning repository.
Each method is in a single Jupyter Notebook file.
The best classification method was Random Forest.

Hope you like it

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Comparison of six popular strategies in spam email detection

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numpy scikit-learn pandas

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