Research Article
Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning
Table 13
Deep learning for combined features evaluation results.
| | MAE | MSE | RMSE | MAPE | RMSLE |
| CNN-LSTM | 0.03918 | 0.00334 | 0.05777 | 0.01527 | 0.13296 | LSTM | 0.06199 | 0.00436 | 0.08394 | 0.02852 | 0.04233 | GRU | 0.06222 | 0.00712 | 0.08944 | 0.06087 | 0.06018 | CNN | 0.06213 | 0.008 | 0.08436 | 0.13451 | 0.06741 | MLP | 0.06401 | 0.00818 | 0.09029 | 0.13296 | 0.07424 | (a) Class A |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00237 | 0.00101 | 0.00315 | 0.01554 | 0.0029 | LSTM | 0.0029 | 0.00151 | 0.00364 | 0.02853 | 0.03108 | GRU | 0.00365 | 0.00245 | 0.04954 | 0.10156 | 0.03227 | CNN | 0.03153 | 0.00894 | 0.05426 | 0.18847 | 0.00337 | MLP | 0.06972 | 0.00401 | 0.09456 | 0.18756 | 0.06972 | (b) Class B |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.01766 | 0.00108 | 0.03282 | 0.01725 | 0.02415 | LSTM | 0.00252 | 0.00142 | 0.04932 | 0.07215 | 0.02534 | GRU | 0.02914 | 0.00232 | 0.09914 | 0.151 | 0.02541 | CNN | 0.07412 | 0.00243 | 0.05017 | 0.17203 | 0.02956 | MLP | 0.06779 | 0.01018 | 0.10765 | 0.42891 | 0.07412 | (c) Class C |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00701 | 0.00147 | 0.01351 | 0.14796 | 0.00818 | LSTM | 0.01175 | 0.0042 | 0.02069 | 0.28051 | 0.00795 | GRU | 0.00783 | 0.00443 | 0.02069 | 0.15548 | 0.01206 | CNN | 0.0584 | 0.00519 | 0.0783 | 0.28875 | 0.0584 | MLP | 0.04972 | 0.00613 | 0.07204 | 0.59483 | 0.04972 | (d) Class D |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.0027 | 0.0016 | 0.04046 | 0.0009 | 0.0027 | LSTM | 0.01707 | 0.00454 | 0.03545 | 0.0059 | 0.02613 | GRU | 0.03159 | 0.00443 | 0.06789 | 0.19402 | 0.03386 | CNN | 0.0314 | 0.00412 | 0.06813 | 0.28588 | 0.03419 | MLP | 0.04576 | 0.00488 | 0.06422 | 0.426525 | 0.04576 | (e) Class E |
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