Support Vector Classification

C-Support Vector Classification

Inputs

• numpy.ndarray: Training data
• numpy.ndarray: Labels of training data
• numpy.ndarray: Target data
• numpy.ndarray: Labels of target data

Outputs If classification is binary:

• float: accuracy
• float: recall
• float: precision

If classification is multi-class:

• float: accuracy

1. Results - Here are displayed results:
   • accuracy, recall and precision in binary classification
   • accuracy in multi-class classification
2. Random state - The seed of the pseudo random number generator to use when shuffling the data for the dual coordinate descent.
3. Max iter - The maximum number of iterations to be run.

Example

More information here

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