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Metrics: Robustness

Overview​

H2O Model Validation offers an array of metrics to understand a robustness test. Below, each metric is described in turn.

Metrics​

Perturbed {metric} scores​

The perturbed {metric} scores box and whisker plot illustrate the quartile, median, third quartile, and maximum value of the perturbated model scores obtained from each generated perturbed dataset. In this case, the {metric} refers to the model's metric (scorer).

  • X-axis: The x-axis represents the size of the perturbations.
  • Y-axis: The y-axis represents the corresponding performance (metric scores) of the model.

Plot

Original {metric} score​

The original {metric} score card displays the original model score. In this case, the {metric} refers to the model's metric (scorer).

Original score

Average perturbed {metric} scores​

The average perturbed {metric} scores card displays the average perturbed model scores. In this case, the {metric} refers to the model's metric (scorer).

Average perturbed score

Perturbed ratios per feature​

The perturbed ratios per feature chart displays the average perturbation ratio per feature.

Chart

note

Based on the type of a feature (categorical or numerical) and the perturbation method (raw or quantile for numerical features), calculated perturbation ratios may differ from perturbation sizes.

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