Table 9 The fold-wise performance of different classifiers with ResNet50.
From: An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning
Classifiers | Fold 1 | Fold 2 | Fold 3 | Fold 4 | Fold 5 |
|---|---|---|---|---|---|
SVC | 97.98 | 98.98 | 99.48 | 98.48 | 98.48 |
RF | 95.48 | 94.97 | 95.48 | 96.98 | 96.49 |
DT | 91.45 | 91.95 | 91.96 | 93.47 | 92.98 |
NB | 91.45 | 91.96 | 91.98 | 92.48 | 92.97 |
XGB | 93.97 | 93.47 | 95.47 | 95.98 | 95.49 |
KNC | 96.48 | 97.48 | 97.48 | 97.48 | 96.98 |
LR | 97.98 | 98.48 | 99.48 | 98.48 | 98.98 |
