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Table 2 Classification error rates of difference methods

From: Random bits regression: a strong general predictor for big data

Error% Sample Feature LR KNN NN SVM ELM GBM RF RBR
banknote_authentication 1372 4 1.018 0.146 0.000 0.000 0.000 0.801 0.656 0.000
Blood_Transfusion_Service_Center 748 4 22.863 19.649 24.458 20.186 23.802 23.667 24.596 19.521
Breast_Cancer_Wisconsin_Diagnostic 569 30 5.091 2.810 8.446 2.456 8.800 3.863 4.211 2.281
Climate_Model_Simulation_Crashes 540 18 4.259 7.037 5.556 7.778 5.926 6.296 7.593 3.888
Connectionist_Bench 208 60 26.000 13.023 21.667 13.476 14.429 16.833 13.452 11.571
EEG_Eye_State 14980 14 35.748 15.374 31.569 19.519 42.336 24.172 6.001 6.612
Fertility 100 9 15.000 12.000 15.000 12.000 24.000 12.000 14.000 12.000
habermans_survival 306 3 25.849 25.160 30.710 26.742 27.400 27.774 27.409 25.118
Hill_Valley_with_noise 1212 100 42.001 45.707 5.280 46.283 23.422 50.906 43.065 4.041
Hill_Valley_without_noise 1212 100 41.340 41.668 0.000 46.618 15.596 51.734 39.602 0.744
Indian_Liver_Patient 579 10 27.828 27.822 30.206 28.684 28.336 28.336 29.189 27.644
Ionosphere 351 34 10.262 10.246 11.984 5.405 10.278 6.825 7.405 5.413
MAGIC_Gamma_Telescope 19020 10 20.878 15.857 13.170 12.976 22.639 13.991 11.725 11.435
QSAR_biodegradation 1055 41 13.366 13.754 14.978 12.144 22.381 14.884 13.180 12.043
Skin_Segmentation 245057 3 8.121 0.040 0.056 0.081 0.263 1.550 0.043 0.039
Psoriasis 1590 68–88 40.566 37.044 42.327 38.176 38.616 40.818 40.440 37.170
  1. The bold means the first place result of all methods compared