For greater accuracy on low- through medium-dimensional data sets, train a support vector machine (SVM) model using fitrsvm
.
For reduced computation time on high-dimensional data sets, efficiently train a linear regression model, such as a linear SVM model, using fitrlinear
.
Regression Learner | Train regression models to predict data using supervised machine learning |
RegressionSVM Predict | Predict responses using support vector machine (SVM) regression model |
Predict Responses Using RegressionSVM Predict Block
Train a support vector machine (SVM) regression model using the Regression Learner app, and then use the RegressionSVM Predict block for response prediction.
Understanding Support Vector Machine Regression
Understand the mathematical formulation of linear and nonlinear SVM regression problems and solver algorithms.