Predictive and Specialized Modeling > Support Vector Machines
Publication date: 08/13/2020

Support Vector Machines

Predict Response Categories Using Support Vectors

The Support Vector Machines platform is available only in JMP Pro.

In JMP Pro, the Support Vector Machines (SVM) platform provides a machine learning tool for binary and multi-class classification problems. The SVM algorithm is a supervised learning algorithm that uses the training data to build a model to classify new data.

You can visualize the model classification in the Response Profile Plot. The SVM platform provides misclassification rates, confusion matrices, and ROC and Lift curves to help you determine how well your model fits the data.

Figure 9.1 Response Profile PlotĀ 

Contents

Overview of Support Vector Machines

Example of Support Vector Machines

Launch the Support Vector Machines Platform

The Support Vector Machines Launch Window
Model Launch Control Panel

The Support Vector Machine Report

Model Comparison Report
Support Vector Machine Model Report

Support Vector Machines Platform Options

Support Vector Machine Model Report Options
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).
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