Success Rate Prediction on Experiment 1 (LOOCV)
2.64R2MLP Neural Net
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MLP Neural NetHyperparameters=Default, number of parameters=4012026.03 | 2.64 | 28.4 | |
| SVRHyperparameters=Bayesian-Optimized, number of parameters=442026.03 | 0.968 | 2.42 | |
| MLP Neural NetHyperparameters=Bayesian-Optimized, number of parameters=7,9992026.03 | 0.966 | 2.62 | |
| Skewed-Dual.Equation=Equation 112026.03 | 0.944 | 3.39 | |
| Random ForestHyperparameters=Default, number of parameters=5,7082026.03 | 0.903 | 3.94 | |
| Random ForestHyperparameters=Bayesian-Optimized, number of parameters=8,4452026.03 | 0.857 | 4.74 | |
| Dual Gauss.Equation=Equation 42026.03 | 0.807 | 5.56 | |
| Lasso RegressionHyperparameters=Default, number of parameters=32026.03 | 0.706 | 7.88 | |
| Lasso RegressionHyperparameters=Bayesian-Optimized, number of parameters=32026.03 | 0.693 | 7.61 | |
| SVRHyperparameters=Default, number of parameters=452026.03 | 0.137 | 14.6 |