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Version: v0.15.0

Dataset validation flow

The following steps summarize the flow of validating a dataset in H2O Model Validation:

For more information on each of the preceding steps, refer to the following sections.

Step 1: Establish a Connection and import a dataset

Establish a Connection that lets you import your datasets from one of the supported platforms. Once a Connection has been established, you can begin importing datasets.

Step 2: Run validation test(s)

Run one or multiple validation tests for the imported dataset. To validate a dataset, H2O Model Validation offers two validation tests to analyze similar or dissimilar segments of two different datasets and identify changes in the distribution of variables in your dataset. You can fine-tune the parameters of each test by using the available configuration settings.

Step 3: Review test(s) metrics

Review the validation test(s) metrics. For each validation test, H2O Model Validation offers a variety of metrics in graphs, charts, and heatmaps that let you assess the results of each test in detail.