Table 1 Comparison of LRM model and contrastive model
From: Prediction model of agricultural water quality based on optimized logistic regression algorithm
Model | PH prediction | Temperature predictions | Dissolved oxygen prediction | Residual chlorine prediction | ||||
|---|---|---|---|---|---|---|---|---|
| Â | Recall /% | Correct rate /% | recall /% | Correct rate /% | Recall /% | Correct rate /% | Recall /% | Correct rate /% |
LRM | 99.3 | 95.6 | 92.3 | 94.6 | 87.3 | 90.2 | 89.6 | 92.5 |
SVR | 73.5 | 80.2 | 85.5 | 89.2 | 73.5 | 80.2 | 82.6 | 84.9 |
ARIMA | 76.8 | 83.6 | 74.9 | 86.5 | 76.8 | 83.6 | 78.5 | 82.1 |
LSTM | 86.5 | 88.6 | 88.5 | 90.6 | 86.5 | 88.6 | 88.5 | 92.6 |
KNN | 77.6 | 82.5 | 82.6 | 86.5 | 77.6 | 82.5 | 90.6 | 92.4 |