October 2017
Beginner to intermediate
572 pages
26h 1m
English
In the previous recipe, we trained an SVM based on the training dataset. The training process finds the optimum hyperplane that separates the training data by the maximum margin. We can then utilize the SVM fit to predict the label (category) of new observations. In this recipe, we will demonstrate how to use the predict function to predict values based on a model trained by SVM.
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