Table 4 Table comparing Random Forest accuracy for various encoding techniques, reproduced from [62]
Encoding scheme | Dimensionality | Training time (s) | Average training score | Score StDev |
|---|---|---|---|---|
BackwardDifference | 81 | 9.445193 | 0.961925 | 0.002291 |
BinaryEncoder | 13 | 9.234833 | 0.962050 | 0.002472 |
HashingEncoder | 8 | 20.524086 | 0.918650 | 0.002197 |
HelmertEncoder | 81 | 9.418384 | 0.962100 | 0.002359 |
OnehotEncoder | 84 | 8.884236 | 0.961950 | 0.002361 |
OrdinalEncoder | 3 | 8.443738 | 0.961950 | 0.002513 |
SumEncoder | 81 | 9.405340 | 0.961975 | 0.002560 |
PolynomialEncoder | 81 | 9.642599 | 0.962000 | 0.002327 |
BaseNEncoder | 13 | 10.734352 | 0.961925 | 0.002342 |
LeaveOneOutEncoder | 3 | 8.746265 | 0.962150 | 0.002444 |