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Score Models now generally available

For models that have a score/class combination, we now allow sending in both values as the prediction/ Teams that were previously using two models (one with prediction score, one with prediction class) or passing in the prediction score as a feature can now send one model with both score and class.

All classification metrics are supported for this model type in your Arize dashboards:

  • Easily analyze models that have both a prediction score and prediction label. Metrics can be built for both prediction values.

  • Scored models allow users to track drift on both the prediction label and the prediction score.

  • Improves usability by combining the probability score and prediction class. This can be used in segmenting prediction and cohort analysis.

More information about score models is available here, along with details on the SDK release here.

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