TD_​ROC

Fast path function to Compute AUC, Gini and ROCValues(thresholds, false positive rates, and true positive rates) for binary classifiers.

Options

AUC

Specify whether the function displays the AUC calculated from the ROC values. Default: 'true'.

GINI

Specify whether the function displays the Gini coefficient calculated from the ROC values. The Gini coefficient is a measure of inequality among values of a frequency distribution. A Gini coefficient of 0 indicates that all values are the same. The closer the Gini coefficient is to 1, the more unequal are the values in the distribution. Default: 'true'.

ModelIdColumn

Specify the name of the InputTable column that contains the model or partition identifiers for the ROC curves. Use this syntax element only when InputTable contains information for more than one model. The function creates a separate ROC curve for each model identifier in this column. Each model must include exactly two classes in ObservationColumn.

NumThresholds

Specify the number of thresholds for the function to use. The num_thresholds must be a NUMERIC value in the range [1, 10000]. Default: 50 (The function uniformly distributes the thresholds between 0 and 1.)

ObservationColumn

Specify the name of the InputTable column that contains the actual classes of the observations.

PositiveLabel

Specify the label of the positive class.

ProbabilityColumn

Specify the name of the InputTable column that contains the predicted probabilities of the positive class.

Output Schema

Output Schema, if Volatile is true then use user login as the schema.

Output Table

Output Table

VAL Location

VAL Location

Volatile

Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.

Nodes

• String Configuration4 ×
• Boolean Configuration3 ×
• Column Filter Configuration3 ×
• Table Row to Variable3 ×
• Python Script2 ×
• Show all 14 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

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