Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipeline mechanism, learning curve, confusion matrix, AUC curve, etc

Filename	Size	Update
README.md	31	2017-10-23
image_demo.py	510	2017-10-23
pipline_svm_gridsearch.py	1274	2017-10-23
plot_custom_kernel.py	1548	2017-10-23
plot_digits_classification.py	2949	2017-10-23
plot_iris.py	3485	2017-10-23
plot_multilabel.py	4157	2017-10-23
plot_oneclass.py	2338	2017-10-23
plot_rbf_parameters.py	9933	2017-10-23
plot_separating_hyperplane.py	1480	2017-10-23
plot_separating_hyperplane_unbalanced.py	2023	2017-10-23
plot_svm_anova.py	3128	2017-10-23
plot_svm_kernels.py	1971	2017-10-23
plot_svm_margin.py	2328	2017-10-23
plot_svm_nonlinear.py	2205	2017-10-23
plot_svm_regression.py	1537	2017-10-23
plot_svm_scale_c.py	5516	2017-10-23
plot_weighted_samples.py	2516	2017-10-23

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