Logistic regression
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Logistic Regression | Logistic regression d=50, K=20, epsilon=0.2 varying per-task sample size n (test) | Local Error1.437 | 102 | |
| Sample quality assessment | Logistic regression sparsity-inducing prior | KSD0.0278 | 9 | |
| Logistic Regression | Logistic Regression Identity Σa | Coverage (%)96.5 | 7 | |
| Statistical Inference | Logistic Regression model | Empirical Coverage88.72 | 6 | |
| Online Binary Logistic Regression | Logistic Regression Online Binary | Total Complexity2 | 3 | |
| Finding an epsilon-approximate solution | Logistic regression d=2 | Metric- | 0 | |
| Finding an epsilon-approximate solution | Logistic regression | Metric- | 0 |
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