Many Classifiers Demo

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1NN

hard-margin SVM

soft-margin SVM

Soft-Margin SVM C Parameter 5.0

hard-margin RBF kernel SVM

RBF Kernel Scale Parameter 0.5
$K(x,z)=\exp (-\frac{\parallel x-z{\parallel }^2}{{\text{scale}}^2})$

soft-margin RBF kernel SVM

hard-margin polynomial kernel SVM

Polynomial Kernel Degree 1
$K(x,z)=(1+x^{T}z{)}^r$

soft-margin polynomial kernel SVM

logistic regression