Research Article
Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach
Table 3
Yule’s statistic for different classifier pairs.
| Serial no. | Classifier pair | Yule’s statistic |
| 1 | SVM and RF | 0.00074 | 2 | RF and gradient boosting (GB) | 0.06 | 3 | RF and K-nearest neighbor (KNN) | 0.0792 | 4 | RF and logistic regression (LR) | 0.129 | 5 | RF and naïve Bayes (NB) | 0.1 | 6 | SVM and GB | 0.03 | 7 | SVM and KNN | 0.055 | 8 | SVM and LR | 0.08 | 9 | SVM and NB | 0.015 | 10 | GB and KNN | 0.11 | 11 | GB and LR | 0.141 | 12 | GB and NB | 0.069 | 13 | KNN and LR | 0.079 | 14 | KNN and NB | −0.014 | 15 | LR and NB | 0.057 |
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