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Version: v0.17.0

Dataset validation flow


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

Step 1: Establish a Connection and import a dataset

Establish a Connection that lets you import your datasets from a platform (for example, Driverless AI). 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 analyze (validate) a dataset, H2O Model Validation offers certain validation tests. You can fine-tune the parameters of each test by using the available configuration settings.

Step 3: Review test(s) metrics

For each validation test for a dataset, H2O Model Validation offers a variety of metrics. For example, metrics come in graphs, charts, and heatmaps that let you assess the results of each test in detail.