> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openlayer.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Predictive power score (PPS)

> Learn how to use the predictive power score (PPS) test

## Definition

The PPS is a metric that measures the predictive power of a feature with respect to the label/target. It has similarities
with the Pearson correlation coefficient, but can also capture non-linear relationships. The PPS tests allows you to set
a threshold on the PPS for a specific feature.

## Taxonomy

* **Task types**: Tabular classification, tabular regression.
* **Availability**: development (Continuously evaluate your models and datasets as you iterate on their versions.)
  and monitoring (Monitor a model in production, measure its health, check for drifts and set up alerts.).

## Why it matters

* Features with a low PPS score are likely to be redundant and can be removed from the dataset.

## Test configuration examples

If you are writing a `tests.json`, here are a few valid configurations for the character length test:

```json Development theme={null}
[
  {
    "name": "PPS for feature 'Age' greater than 0.7",
    "description": "Asserts that the predictive power score of feature 'Age' is greater than 0.7",
    "type": "integrity",
    "subtype": "ppScoreValueValidation",
    "thresholds": [
      {
        "insightName": "ppScore",
        "insightParameters": [{ "name": "name", "value": "Age" }],
        "measurement": "ppScoreValue",
        "operator": ">",
        "value": 0.7
      }
    ],
    "subpopulationFilters": null,
    "mode": "development",
    "usesValidationDataset": true,
    "usesTrainingDataset": false,
    "usesMlModel": false,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689"
  }
]
```

```json Monitoring theme={null}
[
  {
    "name": "PPS for feature 'Age' greater than 0.7",
    "description": "Asserts that the predictive power score of feature 'Age' is greater than 0.7",
    "type": "integrity",
    "subtype": "ppScoreValueValidation",
    "thresholds": [
      {
        "insightName": "ppScore",
        "insightParameters": [{ "name": "name", "value": "Age" }],
        "measurement": "ppScoreValue",
        "operator": ">",
        "value": 0.7
      }
    ],
    "subpopulationFilters": null,
    "mode": "monitoring",
    "usesProductionData": true,
    "evaluationWindow": 3600,
    "delayWindow": 0,
    "syncId": "b4dee7dc-4f15-48ca-a282-63e2c04e0689"
  }
]
```

## Related

* [Correlated features test](https://docs.openlayer.com/tests/integrity/correlated-feature-count).
* [Predictive power score vs. correlation](https://www.kaggle.com/code/frtgnn/predictive-power-score-vs-correlation).


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