Example 2
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Conformal Prediction | Example 2 5-class data (a=0.5, Easy Bin, r* > 0.5) synthetic (test) | Coverage96.6 | 45 | |
| Conformal Prediction | Example 2 5-class data (a=0.5, Hard Bin, r* <= 0.5) synthetic (test) | Coverage90.4 | 45 | |
| Estimation | Example 2 rho=0.5 | Estimation Error1.2182 | 16 | |
| Cost Optimization | Example 2 Case 5 | Mean Cost (USD)292.34 | 10 | |
| Cost Optimization | Example 2 Case 4 | Mean Cost (USD)229.41 | 10 | |
| Cost Optimization | Example 2 Case 3 | Mean Cost (USD)382.43 | 10 | |
| Cost Optimization | Example 2 Case 1 | Mean Cost247.39 | 10 | |
| Best Arm Identification | Example 2 Synthetic | False Selection Probability3 | 10 | |
| Variable Selection | Example 2 ρ=0.95 | TPR100 | 8 | |
| Variable Selection | Example 2 ρ=0.75 | TPR100 | 8 | |
| Variable Selection | Example 2 ρ=0.5 | TPR100 | 8 | |
| Solving Non-linear Problem | Example 2 epsilon = 2^-10 | L2 Error0.0001 | 7 | |
| Solving Non-linear Problem | Example 2 epsilon = 2^-4 | L2 Error0 | 7 | |
| Rectified prediction | Example 2 Damping (test) | NMSE0.0013 | 4 | |
| Inference (estimation) | Example 2 Damping (test) | NMSE (%)0 | 4 |
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