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Data Classification: Basic SVM Classifier

Aim

This example shows how to prepare and use SVM classifier model.

To get best result using a SVM classifier each class should have at least 2 samples.

More information about usage of this type of classifier can be found in the SVM_Init description.

Input

An example CSV file with prepared data.

Output

An image of classification results for a whole problem's space.

Macrofilter Main

Macrofilter TrainModel

Macrofilter CheckDataset

Macrofilter CheckEntireSpace