High Level Analyses of Confound Regression Leaks
Analyses for the paper
1 UCI Performance
2a Reason: Continuous Features
2b Reason: Low Precision Features
2c Simulation Adding more Features
Analysis 3a: Real World Datasets Audio Data
Analysis 3b: Permutation test for Real World Clincally Relevant Data
Analysis 3c: Introspect: Real World Datasets Audio Data Features Importance
Analysis 3d: Real World Datasets Audio Data Grouped CR
4a Walk Through Analyses with Binary TaCo
4b Walk Through Analyses with causal continuous confound
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