GitHub / durga256 / CompareMLAlgos_ML

Three datasets, Drug consumption, labor negotiation, and Heart disease are oversampled and undersampled and 6 algorithsm(SVM, DT, K-Neighbors, RandomForest, MLP, GradientBoosting) are modeled and their accuracies are tested. Performed Friedman to find difference between performances

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PURL: pkg:github/durga256/CompareMLAlgos_ML

Topics: data-imputation, decision-trees, friedman-test, gradient-boosting, knn-classifier, machine-learning, mlp-classifier, random-forest-classifier, svm-classifier

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