💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

svm rbf-kernel pca pruning confusion-matrix roc decision-tree decision-tree-classifier svm-classifier linear-kernel one-hot-encoding grid-search-cross-validation cost-complexity-pruning poly-kernel sigmoid-kernel

• Updated Dec 10, 2020
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In this project, I predict whether a patient has a low or high chance of having a heart attack using classification

visualization rbf-kernel logistic-regression preprocessing support-vector-machines saga sag linear-kernel lbfgsb-solver poly-kernel sigmoid-kernel liblinear-solver newton-cg-solver newton-cholesky-solver

• Updated Nov 23, 2024
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I have implemented support vector machine classifier on the same dataset but using different kernels and have compared their accuracies with each other

svm rbf-kernel linear-kernel poly-kernel sigmoid-kernel

• Updated May 29, 2024
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