Settings: Segment performance
Overview
H2O Model Validation offers an array of settings for a segment performance test. Below, each setting is described in turn.
Settings
Test name
This setting defines the name for the validation test. By default, H2O Model Validation assigns a name to the test that you can rewrite.
Model
This setting defines the model H2O Model Validation utilizes to run the segment performance test.
Model train dataset
Model train dataset refers to one of the model's informational points, not a setting. This informational point refers to the model's training datase
Primary dataset
This settign defines the dataset H2O Model Validation utilizes to run the segment performance test. H2O Model Validation applies the model to the dataset, bins the data, and calculates the performance statistics.
The defined primary dataset needs to follow the model's training dataset format.
Metric
This setting defines the metric to be applied to measure model performance. The list of applicable metrics depends on the model type (for example, binary classification).
Columns to drop
Defines the columns H2O Model Validation drops when assessing the data segments.
Number of bins
This setting defines the number of bins H2O Model Validation utilizes to split the variable values of the primary dataset. In the case of a categorical column, H2O Model Validation utilizes the appropriate categories while ranging numerical columns into a specified number of bins.
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