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 optionally the class probabilities.

Options

Custom prediction column name

Allows you to specify a customized name for the prediction column that is appended to the input table. If not checked, Prediction(target) (where target is the name of the target column of the provided regression model) is used as default.

Append columns with normalized class distribution

If selected, a column is appended for each class instance with the normalized probability of this row being a member of this class. The probability columns will have names like: P(targetColumn=value).

Probability column suffix

Suffix for the probability columns.

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Workflows

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