View a prediction's tabs
Overview
A prediction contains the following tabs that you can view when the prediction is running or completed:
Instructions
To access the tabs of a completed or running prediction, consider the following instructions:
- In the H2O Hydrogen Torch navigation menu, click View predictions.
- Click the name of the prediction.
Tabs
Summary
On the Summary tab, H2O Hydrogen Torch displays the following table containing summary metrics about the selected prediction:
| Name | Description |
|---|---|
| Name | Name of the prediction. |
| Dataset | Dataset used for the experiment. |
| Problem Type | Problem type of the experiment. |
| Fold | The validation fold value. |
| Seed | The random seed value that you selected for model training. |
| GPU List | List of GPUs that H2O Hydrogen Torch used during model training. |
| Loss | Loss refers to the objective function optimized directly during model training. |
| Metric | Metric refers to the selected metric to evaluate model performance. |
| Epoch | The number of epochs used to train the model. |
| Train Metric | Train metric refers to evaluation metric computed on train data. A value for Train metric is available when Calculate Train Metric is turned on when defining the experiment settings. |
| Val Metric | Val Metric refers to the evaluation metric computed on the validation data. |
| Test Metric | Test metric refers to the evaluation metric computed on the test data. |
Metrics
On the Metrics tab, H2O Hydrogen Torch displays all available test metrics applicable to the problem type of the prediction, if test dataset contains labels.
Precision, recall, F1, F05, and F2 are micro-average. To learn more, see Metrics.
Test prediction insights
On the Test prediction insights tab, H2O Hydrogen Torch visualizes test samples and their prediction. In addition, if test dataset contains labels, visualizations are divided as follows:
- Random test samples
- In the Random test samples tab, H2O Hydrogen Torch visualizes best and worst test samples and their prediction.Note
Each random test sample contains a Loss value.
- In the Random test samples tab, H2O Hydrogen Torch visualizes best and worst test samples and their prediction.
- Best test samples
- In the Best test samples tab, H2O Hydrogen Torch visualizes the best test samples and their prediction. Samples in this tab can also be regarded as the model's smallest significant errors. Note
Each best test sample contains a Loss value.
- In the Best test samples tab, H2O Hydrogen Torch visualizes the best test samples and their prediction. Samples in this tab can also be regarded as the model's smallest significant errors.
- Worst test samples
- In the Worst test samples tab, H2O Hydrogen Torch visualizes the worst test samples and their prediction. Samples in this tab can also be regarded as the model's most significant errors. Samples in this tab can help identify issues the model might have. Note
Each worst test sample contains a Loss value.
- In the Worst test samples tab, H2O Hydrogen Torch visualizes the worst test samples and their prediction. Samples in this tab can also be regarded as the model's most significant errors. Samples in this tab can help identify issues the model might have.
Evaluating the best and the worst performance differs for each problem type and might vary from the selected loss and the selected metric to assess the model.
Logs
On the Logs tab, you can view the logs of the prediction.
Config
On the Config tab, you can view the experiment configurations used to generate the prediction.
- Submit and view feedback for this page
- Send feedback about H2O Hydrogen Torch to cloud-feedback@h2o.ai