SVM Predictor

This node uses a SVM model generated by the SVM learner node to predict the output for given values. Only the columns that have been used during training are used in the SVM learner. The output table will contain one extra column, which contains the prediction and optinally the class probabilities.

Options

Change prediction column name

When set, you can change the name of the prediction column.

Prediction column

The possibly overridden column name for the predicted column. (The default is: Prediction (trainingColumn).)

Append Class Columns

Append class probability columns.

Suffix for probability columns

Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Views

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Workflows

• Credit Scoring Model(diksha kumari)KNIME Hub
• (test) credit score modelKNIME Hub
• 01_Combining_Classifiers_using_Prediction_FusionKNIME Hub
• 01_CreditScoringKNIME Hub
• 01_CreditScoringKNIME Hub
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