Bivariate Regression on California Housing (10-fold CV)
0.204R2TQF
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TQFnumber of trees=50, G=10, G_tilde=1, T=3, min_samples_leaf=52025.12 | 0.204 | 0.216 | |
| RFES computation=Reduced to Mean Absolute Error (point predictions)2025.12 | 0.202 | 0.311 | |
| LightGBMES computation=Reduced to Mean Absolute Error (point predictions), Multi-target=Trained as two independent models2025.12 | 0.196 | 0.314 | |
| GPapproximation=1,000 random Fourier features, pre-processing=QuantileTransformer, model type=Bayesian linear model in feature space2025.12 | 0.191 | 0.229 | |
| NGBoostdistribution=bivariate normal, learning_rate=0.1, min_samples_leaf=100, base_learner=DecisionTreeRegressor2025.12 | 0.191 | 0.215 | |
| KNNk=100, features=MedHouseVal and AveOccup, weights=uniform2025.12 | 0.094 | 0.221 | |
| SimpleDescription=Trivial baseline2025.12 | 0 | 0.244 |