SOTA Predictor

Predicts a class for each row of the input data table. The class value is a string and the values to predict the class for have to be double values. The SOTA Predictor can only be used with an input SOTA model that was trained using the class column during the training phase.

Options

Custom prediction column name

Allows you to specify a custom name for the prediction column appended to the input table. If not set, Prediction (trainingColumn) (where trainingColumn is the name of the target column of the provided SOTA model) is used as the default.

Append columns with normalized class distribution

If selected, a column is appended for each class value with the normalized probability of this row belonging to that class. The probability columns will have names like: P (trainingColumn=value).

Suffix for probability columns

Suffix appended to the probability column names. The columns will be named like: P (trainingColumn=value{suffix}).

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