Research Article
Identification of Dry Bean Varieties Based on Multiple Attributes Using CatBoost Machine Learning Algorithm
Table 7
10-Fold cross validation accuracy.
| Fold nos | No. of instances (90 : 10) | Random forest | XGBoost | CatBoost | Training sets | Test sets |
| 1 | 3288 | 366 | 92.89 | 94.53 | 94.53 | 2 | 3288 | 366 | 91.25 | 93.16 | 95.35 | 3 | 3288 | 366 | 92.34 | 92.07 | 94.81 | 4 | 3288 | 366 | 93.44 | 91.25 | 92.89 | 5 | 3289 | 365 | 92.05 | 92.87 | 93.97 | 6 | 3289 | 365 | 93.42 | 93.15 | 93.42 | 7 | 3289 | 365 | 95.06 | 93.15 | 93.69 | 8 | 3289 | 365 | 92.32 | 90.95 | 92.87 | 9 | 3289 | 365 | 93.97 | 95.06 | 94.52 | 10 | 3289 | 365 | 91.78 | 92.05 | 92.05 | Mean accuracy in percentage | 92.9 | 92.8 | 93.8 |
|
|