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Version: v0.16.0

Compare models

Overview

H2O Model Validation enables you to compare models to understand the similarities and differences between models.

note

H2O Model Validation utilizes the model's summaries to compare the models.

Compared models

Instructions

To compare models, consider the following instructions:

  1. In the H2O Model Validation navigation menu, click Models.
  2. Click the Select models toggle.
  3. In the models table, select at least two models to compare.
  4. Click Compare.
    note

Model summary tab

Comparison table

Column nameDescription
Model summary nameThe name of the model's summary.
Train dataset nameName of the experiment train dataset.
Validation dataset nameName of the experiment validation dataset.
Test dataset nameName of the experiment test dataset.
ScorerThe scorer of the experiment.
Validation scoreExperiment validation score value.
Test scoreExperiment test score value.
AccuracyExperiment accuracy value.
TimeExperiment time value.
InterpretabilityExperiment interpretability value.
TaskExperiment problem type (for example, regression).
TargetExperiment target column (target feature).
Dropped columns Dropped columns that Driverless AI dropped during the experiment to not use as predictors.

Chart: Feature importance

The Feature importance chart displays all the features of the compared models.

  • X-axis: Feature names
  • Y-axis: Gain values (the importance of the feature in the model)

chart-feature-importance.png


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