Compare models
You can compare models to understand the similarities and differences between 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
A comparison table and a feature importance chart appear when comparing the selected models. To learn more, see Comparison table and Chart: Feature importance.
Comparison metrics: Models
Comparison table
Column name | Description |
---|---|
Test name | The name of the experiment. |
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 (e.g., 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 name
- Y-axis: Gain value (the importance of the feature in the model)
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