Anyone have any thoughts on when it7;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 is consistently under-estimating good credit risk across all bins of this predictor while the risk demonstrates less discrepancy between the estimated and observed outcome.

https://community.fico.com/s/blog-post/a5Q80000000DsL6EAK



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thanks you RSS link
( https://www.reddit.com/r//comments/9lny5o/d_what_happens_when_you__an_xgboost_model/)

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