Advanced Performance Analysis and Model Interpretability

1. Advanced Performance Analysis 1.1 Statistical Analysis Methods Hypothesis Testing Statistical methods to evaluate model performance claims and comparisons. Techniques: Statistical Tests McNemar’s test Wilcoxon signed-rank Student’s t-test ANOVA Confidence Intervals Bootstrap estimates Cross-validation intervals Prediction intervals Error bounds Effect Size Analysis Cohen’s d Odds ratio Risk ratio Area under curve differences Error Analysis Components:…

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