Table 8 RF, GB, and KNN models’ accuracy with the original feature set.
From: Predicting land suitability for wheat and barley crops using machine learning techniques
Models | Stratified tenfold accuracy result for each fold (%) | Accuracy (%) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th | ||
RF | 99.01 | 99.01 | 99.51 | 99.51 | 98.51 | 99.01 | 98.02 | 99.5 | 97.52 | 98.02 | 98.76 |
GB | 99.01 | 99.01 | 99.01 | 100.0 | 100.0 | 99.01 | 98.51 | 98.51 | 97.52 | 99.5 | 99.01 |
KNN | 98.03 | 96.55 | 96.55 | 96.06 | 97.03 | 97.03 | 95.54 | 98.02 | 94.55 | 98.02 | 96.74 |
