Anyone have any thoughts on when it217;s best to use se ML v. Scorecards?
This blog compares predicted probabilities vs. observed proportions at the feature/predictor level. The example finds that the XGBoost model is consistently under-estimating good credit risk across all bins of this predictor while the risk Scorecard demonstrates less discrepancy between the estimated and observed outcome.
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