P33Model EvaluationBeginnerInterpret10 min
Read a Confusion Matrix
Translate confusion-matrix cells into business errors for a loan pre-screening model.
#confusion-matrix#classification#metrics
Scenario
A model flags risky applications. Its results are TP 80, FP 20, FN 40, TN 860.
Problem statement
Identify the four outcomes and explain which error needs attention if risky loans are costly.
Your Task
- Name true positives, false positives, false negatives, and true negatives.
- Calculate or reason about recall.
- Connect a false negative to the lending decision.
Related Concepts
RecallFalse negativesClassification decisions
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Mark it complete when you have reasoned through the solution in your own words.