After SVM-RFE optimization and selecting the most important features (peptide-centric), following classifiers were trained using Monter-Carlo Cross-Validation (#100 iterations) and reported the accuracy score from validation dataset;
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Random Forest
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XGBoost
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ExtraTree
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Logistic Regression (L1, Ridge regression)
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Logistic Regression (L2, LASSO)
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SVM (Linear Kernel)
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SVM (RBF Kernel)
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Gaussian Naive Bayes
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Bagging
Test accuracy results can be seen by PDF file.