Computation timesΒΆ
00:55.475 total execution time for auto_examples_svm files:
00:31.947: Scaling the regularization parameter for SVCs (
plot_svm_scale_c.py
)00:08.831: RBF SVM parameters (
plot_rbf_parameters.py
)00:07.578: Support Vector Regression (SVR) using linear and non-linear kernels (
plot_svm_regression.py
)00:02.110: Non-linear SVM (
plot_svm_nonlinear.py
)00:00.949: Plot different SVM classifiers in the iris dataset (
plot_iris_svc.py
)00:00.932: SVM: Weighted samples (
plot_weighted_samples.py
)00:00.638: SVM-Anova: SVM with univariate feature selection (
plot_svm_anova.py
)00:00.614: One-class SVM with non-linear kernel (RBF) (
plot_oneclass.py
)00:00.512: SVM with custom kernel (
plot_custom_kernel.py
)00:00.464: SVM-Kernels (
plot_svm_kernels.py
)00:00.332: SVM: Separating hyperplane for unbalanced classes (
plot_separating_hyperplane_unbalanced.py
)00:00.327: SVM Margins Example (
plot_svm_margin.py
)00:00.242: SVM: Maximum margin separating hyperplane (
plot_separating_hyperplane.py
)