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.
Instructions
To compare models, consider the following instructions:
- In the H2O Model Validation navigation menu, click Models.
- Click the Select models toggle.
- In the models table, select at least two models to compare.
- Click Compare.note
- In the Model summary tab, a comparison table and a feature importance chart appear.
- To learn more, see:
- In the other tabs, you can observe the comparison metrics of certain tests associated with the selected models.
- To learn more, see Comparison metrics: Validation tests
- In the Model summary tab, a comparison table and a feature importance chart appear.
Model summary tab
Comparison table
Column name | Description |
---|---|
Model summary name | The name of the model's summary. |
Train dataset name | Name of the experiment train dataset. |
Validation dataset name | Name of the experiment validation dataset. |
Test dataset name | Name of the experiment test dataset. |
Scorer | The scorer of the experiment. |
Validation score | Experiment validation score value. |
Test score | Experiment test score value. |
Accuracy | Experiment accuracy value. |
Time | Experiment time value. |
Interpretability | Experiment interpretability value. |
Task | Experiment problem type (for example, regression). |
Target | Experiment 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)
Feedback
- Submit and view feedback for this page
- Send feedback about H2O Model Validation to cloud-feedback@h2o.ai