Changes between Version 34 and Version 35 of Other/Summer/2024/aiBD
- Timestamp:
- Jun 26, 2024, 3:00:13 PM (5 months ago)
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Other/Summer/2024/aiBD
v34 v35 43 43 44 44 Calculated a hypothetical decision boundary 45 45 46 If our hypothetical recall ~= actual recall => hypothetical decision 47 46 48 boundary might actually represent the model's decision boundary 47 49 48 50 Class 0 hypothetical recall (between curves / total actual class 0): 0.6070519810977826 51 49 52 Actual Class 0 Recall (tested among 500 samples): ~0.896 50 53 51 -> Underestimated complexity of the decision boundary => more work required to address dataset's decision boundary [[Image(unnamed.png, 20%)]] 54 -> Underestimated complexity of the decision boundary => more work required 55 56 to address dataset's decision boundary [[Image(unnamed.png, 20%)]] 52 57 53 58