Touch Pointing Parameter Estimation on Experiment 3 (Leave-One-Out Cross-Validation)
0.948R2SVR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SVRFormula=SR, Hyperparameter Optimization=Bayesian-optimized2026.03 | 0.948 | 2.43 | |
| Random ForestFormula=SR, Hyperparameter Optimization=default2026.03 | 0.938 | 2.64 | |
| Random ForestFormula=SR, Hyperparameter Optimization=Bayesian-optimized2026.03 | 0.938 | 2.6 | |
| MLP Neural NetFormula=SR, Hyperparameter Optimization=Bayesian-optimized2026.03 | 0.937 | 2.73 | |
| Skewed-Dual.Formula=SRx (Equation 11)2026.03 | 0.915 | 2.62 | |
| Skewed-Dual.Formula=SR (Equation 6)2026.03 | 0.883 | 3.59 | |
| Skewed-Dual.Formula=SRy (Equation 11)2026.03 | 0.874 | 2.85 | |
| Dual Gauss.Formula=SRy (Equation 4)2026.03 | 0.863 | 2.82 | |
| Skewed-Dual.Formula=γ1x (Equation 16)2026.03 | 0.805 | 0.274 | |
| Lasso RegressionFormula=SR, Hyperparameter Optimization=Bayesian-optimized2026.03 | 0.79 | 5.01 | |
| Lasso RegressionFormula=SR, Hyperparameter Optimization=default2026.03 | 0.786 | 5.04 | |
| Dual Gauss.Formula=SR (Equation 5)2026.03 | 0.782 | 4.73 | |
| Dual Gauss.Formula=SRx (Equation 4)2026.03 | 0.747 | 4.38 | |
| Skewed-Dual.Formula=µx (Equation 18)2026.03 | 0.718 | 0.183 | |
| Skewed-Dual.Formula=σx (Equation 17)2026.03 | 0.665 | 0.095 | |
| SVRFormula=SR, Hyperparameter Optimization=default2026.03 | 0.62 | 7.12 | |
| Skewed-Dual.Formula=γ1y (Equation 16 using Dedge y)2026.03 | 0.413 | 0.28 | |
| Dual Gauss.Formula=σ2x (Equation 1)2026.03 | 0.301 | 0.445 | |
| Skewed-Dual.Formula=σy (Equation 17 using H & Marginy)2026.03 | 0.269 | 0.145 | |
| Skewed-Dual.Formula=µy (Equation 18 using Dedge y)2026.03 | 0.186 | 0.149 | |
| MLP Neural NetFormula=SR, Hyperparameter Optimization=default2026.03 | 0.076 | 10.5 | |
| Dual Gauss.Formula=σ2y (Equation 1)2026.03 | 0.072 | 0.539 |