Table 5 Performance analysis of the battery.
From: Estimation of state of health for lithium-ion batteries using advanced data-driven techniques
Algorithms (Regression) | MSE | RMSE | MAE | R2 SCORE |
|---|---|---|---|---|
ADABOOST | 0.000461 | 0.02148 | 0.00334 | 0.9100 |
XGBOOST | 0.000306 | 0.01751 | 0.00247 | 0.9402 |
DT | 0.002744 | 0.052383 | 0.02455 | 0.9532 |
RIDGE | 0.002391 | 0.04889 | 0.03731 | 0.9592 |
RANDOM FOREST | 0.000979 | 0.03129 | 0.01374 | 0.9839 |
ANN | 0.000028 | 0.00531 | 0.00332 | 0.9890 |
LSTM | 0.000115 | 0.01074 | 0.00423 | 0.9982 |
