The Scorecard Table: Scoring Applicants with Lookups
This lesson is part of the course
In this lesson
You score six new applicants with approximate-match lookups in Larkspur's three-characteristic scorecard and convert each score back into odds and a probability of default.
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Lessons in this course
- Coarse Classing: Binning a Characteristic into Good/Bad Counts Locked
- Weight of Evidence: LN of the Good/Bad Distribution Ratio (with a Chart) Locked
- Information Value & Predictive Power Bands Locked
- Monotonic Bins: Spotting a Reversal and Merging Classes Locked
- Points per Attribute: Factor, Offset, PDO & Base Odds Locked
- The Scorecard Table: Scoring Applicants with Lookups Locked
- Cut-off Strategy: Approval Rate vs Bad Rate (with a Chart) Locked
- After Launch: Population Stability Index & Characteristic Analysis Locked