cancer_classify_mlp, a scikit-learn code which uses a multilayer perceptron to classify the breast cancer dataset.
The computer code and data files described and made available on this web page are distributed under the MIT license
cancer_classify_decision, a scikit-learn code which uses a decision tree algorithm on the breast cancer dataset, comparing the training and testing accuracy as the depth of the tree is varied.
cancer_classify_forest, a scikit-learn code which uses the random forest algorithm on the breast cancer dataset.
cancer_classify_gradboost, a scikit-learn code which uses the gradient boosting algorithm to classify the breast cancer dataset.
cancer_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm on the breast cancer dataset, comparing the training and testing accuracy as the number of neighbors is increased.
cancer_classify_logistic, a scikit-learn code which uses logistic regression on the breast cancer dataset, investigating the influence of the C parameter.
cancer_classify_svm_rbf, a scikit-learn code which uses the support vector algorithm with RBF kernel on the cancer dataset, showing that the data should be rescaled to avoid overfitting.