Support Vector Machine Classification

Select Dataset: Fisher's Iris, All Features Fisher's Iris, Two Features Nonlinear Data

Select Plot Data Subset: Training Data Test Data

Select Plot Boundary Type: Decision Boundary Probability Boundary

Select SVM Kernel Type: Linear Kernel 2nd Degree Polynomial 3rd Degree Polynomial 4th Degree Polynomial Radial Basis Function Sigmoid

Code (HTML, CSS, JavaScript, Python) by Abigail Basener.

NOTE: The scatterplot for the "Fisher's Iris, All Features" data set shows a 2-dimensional projection of the 4-dimensional data and decision regions / probabilities.