Success Rate and Distribution Parameter Regression on Experiment 2 (LOOCV)
0.947R2 ScoreSkewed-Dual (SRy)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Skewed-Dual (SRy)Formula=Equation 112026.03 | 0.947 | 3.35 | |
| MLP Neural NetFormula=SRy, Number of parameters=21,058, Hyperparameter optimization=Bayesian-optimized2026.03 | 0.943 | 3.75 | |
| Skewed-Dual (gamma_1y)Formula=Equation 16 using Dedge y, Regression Constants=cy = 1.20, dy = −0.1992026.03 | 0.867 | 0.0944 | |
| Skewed-Dual (sigma_y)Formula=Equation 17 using H & Marginy, Regression Constants=ey = 0.123, fy = 0.0371, gy = 0.415, hy = 1.31, iy = 0.01302026.03 | 0.841 | 0.0761 | |
| Random ForestFormula=SRy, Number of parameters=8,171, Hyperparameter optimization=Bayesian-optimized2026.03 | 0.806 | 5.67 | |
| Random ForestFormula=SRy, Number of parameters=5,528, Hyperparameter optimization=default2026.03 | 0.799 | 5.82 | |
| SVRFormula=SRy, Number of parameters=44, Hyperparameter optimization=Bayesian-optimized2026.03 | 0.753 | 5.59 | |
| Dual Gauss. (SRy)Formula=Equation 42026.03 | 0.691 | 7.61 | |
| Lasso RegressionFormula=SRy, Number of parameters=3, Hyperparameter optimization=Bayesian-optimized2026.03 | 0.565 | 10.7 | |
| Lasso RegressionFormula=SRy, Number of parameters=3, Hyperparameter optimization=default2026.03 | 0.558 | 11.1 | |
| Skewed-Dual (mu_y)Formula=Equation 18 using Dedge y, Regression Constants=jy = 0.804, ky = −0.0961, ly = 3.602026.03 | 0.484 | 0.153 | |
| Dual Gauss. (sigma_y^2)Formula=Equation 1, Regression Constants=ay = 1.23, by = 0.01642026.03 | 0.315 | 0.371 | |
| SVRFormula=SRy, Number of parameters=46, Hyperparameter optimization=default2026.03 | 0.065 | 16.7 | |
| MLP Neural NetFormula=SRy, Number of parameters=401, Hyperparameter optimization=default2026.03 | -2.08 | 29.9 |