Research Article
Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning
Table 12
Machine learning for combined features evaluation results.
| | MAE | MSE | RMSE | MAPE | RMSLE |
| XGBoost | 0.06984 | 0.00849 | 0.09212 | 0.10335 | 0.06984 | VAR | 1.0498 | 1.17777 | 1.47572 | 0.39307 | 0.3548 | SVM | 1.08607 | 1.59434 | 1.66544 | 1.78393 | 1.12886 | KNN | 1.18772 | 2.08258 | 1.7107 | 1.89279 | 1.44327 | (a) Class A |
| | MAE | MSE | RMSE | MAPE | RMSLE | XGBoost | 0.08978 | 0.0223 | 0.14396 | 0.11954 | 0.0498 | VAR | 0.44327 | 0.36056 | 0.60046 | 0.13314 | 0.08978 | SVM | 0.7216 | 1.03716 | 1.01919 | 1.14185 | 0.61201 | KNN | 0.76191 | 1.41458 | 1.18536 | 1.23693 | 0.72143 | (b) Class B |
| | MAE | MSE | RMSE | MAPE | RMSLE | XGBoost | 0.11671 | 0.03406 | 0.18643 | 0.25127 | 0.11671 | VAR | 0.43631 | 0.33916 | 0.58238 | 0.38869 | 0.43631 | SVM | 0.80446 | 0.97407 | 0.98695 | 1.12311 | 0.27791 | KNN | 0.839 | 1.86212 | 1.36414 | 1.22258 | 0.53914 | (c) Class C |
| | MAE | MSE | RMSE | MAPE | RMSLE | XGBoost | 0.01955 | 0.00291 | 0.05102 | 0.02952 | 0.0295 | VAR | 0.43306 | 0.34416 | 0.58665 | 0.15809 | 0.43306 | SVM | 0.54572 | 0.69482 | 0.83307 | 1.16535 | 0.54581 | KNN | 0.61314 | 1.14905 | 1.071 | 1.18552 | 0.43926 | (d) Class D |
| | MAE | MSE | RMSE | MAPE | RMSLE | XGBoost | 0.01691 | 0.00204 | 0.04636 | 0.00572 | 0.01591 | VAR | 0.08465 | 0.08488 | 0.29134 | 0.13918 | 0.07416 | SVM | 0.1173 | 0.11817 | 0.34376 | 0.52012 | 0.0847 | KNN | 0.27281 | 0.13251 | 0.16539 | 1.94874 | 0.17384 | (e) Class E |
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