Table 1 Regression RMSE of different methods
From: Random bits regression: a strong general predictor for big data
RMSE | Sample | Feature | Linear | KNN | NN | SVM | ELM | GBM | RF | RBR |
|---|---|---|---|---|---|---|---|---|---|---|
3D Road Network | 434874 | 2 | 18.370 | 6.441 | 15.548 | 12.530 | 16.953 | 14.819 | 3.855 | 2.061 |
Bike_sharing | 17389 | 16 | 141.865 | 104.576 | 65.994 | 114.155 | 94.564 | 96.765 | 49.366 | 40.54 |
buzz_in_social_media_tomhardware* | 28179 | 97 | 1.446 | 0.758 | 0.373 | 1.489 | 1.581 | 0.311 | 0.310 | 0.313 |
buzz_in_social_media_twitter* | 583250 | 78 | 1.333 | 0.516 | 0.505 | - | 1.034 | 0.484 | 0.471 | 0.472 |
computer_hardware | 209 | 7 | 69.622 | 63.125 | 134.912 | 119.394 | 159.233 | 93.214 | 61.212 | 50.001 |
concrete_compressive_strength | 1030 | 9 | 10.530 | 8.280 | 6.355 | 6.519 | 13.176 | 5.823 | 5.096 | 3.650 |
forest_fire* | 517 | 13 | 1.503 | 1.399 | 2.095 | 1.499 | 1.401 | 1.399 | 1.454 | 1.390 |
Housing | 506 | 12 | 4.884 | 4.099 | 4.943 | 3.752 | 7.922 | 3.749 | 3.097 | 2.770 |
istanbul_stock_exchange | 536 | 8 | 0.012 | 0.013 | 0.039 | 0.013 | 0.016 | 0.012 | 0.013 | 0.012 |
parkinsons_telemonitoring | 5875 | 26 | 9.741 | 6.097 | 6.690 | 7.160 | 10.354 | 6.889 | 3.909 | 3.954 |
Physicochemical_properties_of _protein_tertiary_structure | 45730 | 9 | 5.185 | 3.790 | 6.118 | 6.254 | 6.118 | 5.047 | 3.454 | 3.407 |
wine_quality | 6497 | 11 | 0.736 | 0.696 | 0.730 | 0.676 | 0.921 | 0.701 | 0.585 | 0.592 |
yacht_hydrodynamics | 308 | 6 | 9.134 | 6.430 | 1.178 | 6.542 | 1.964 | 1.160 | 3.833 | 0.782 |
year_prediction_MSD | 515345 | 90 | 9.550 | 9.216 | 10.931 | - | 11.468 | 9.626 | 9.242 | 9.144 |