Research Article
Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning
Table 9
Deep learning for historical data with weekends data evaluation results.
| | MAE | MSE | RMSE | MAPE | RMSLE |
| CNN-LSTM | 0.03985 | 0.00346 | 0.05882 | 0.07765 | 0.04864 | LSTM | 0.07084 | 0.00647 | 0.08226 | 0.07834 | 0.07843 | GRU | 0.07445 | 0.00823 | 0.09072 | 0.08235 | 0.07535 | CNN | 0.06685 | 0.00851 | 0.17917 | 0.16054 | 0.08183 | MLP | 0.11695 | 0.0321 | 0.18264 | 0.31643 | 0.12436 | (a) Class A |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00549 | 0.00712 | 0.0062 | 0.02987 | 0.00549 | LSTM | 0.03908 | 0.0343 | 0.01044 | 0.03156 | 0.02043 | GRU | 0.03774 | 0.01249 | 0.04989 | 0.32077 | 0.03437 | CNN | 0.03362 | 0.03393 | 0.09543 | 0.41409 | 0.07012 | MLP | 0.11776 | 0.01509 | 0.18421 | 0.74706 | 0.11776 | (b) Class B |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.02107 | 0.00126 | 0.03544 | 0.07989 | 0.0274 | LSTM | 0.02945 | 0.00229 | 0.05796 | 0.09897 | 0.02942 | GRU | 0.03309 | 0.00249 | 0.04929 | 0.56722 | 0.03524 | CNN | 0.11495 | 0.00257 | 0.13197 | 0.31063 | 0.03386 | MLP | 0.12668 | 0.03283 | 0.18118 | 0.6956 | 0.11495 | (c) Class C |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00841 | 0.00543 | 0.01444 | 0.32857 | 0.00848 | LSTM | 0.00947 | 0.00524 | 0.02185 | 0.16148 | 0.0155 | GRU | 0.01529 | 0.0302 | 0.02081 | 0.28902 | 0.00966 | CNN | 0.10715 | 0.03437 | 0.17378 | 0.67375 | 0.10715 | MLP | 0.11859 | 0.03674 | 0.18727 | 0.8023 | 0.11859 | (d) Class D |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00943 | 0.00188 | 0.04145 | 0.00517 | 0.01213 | LSTM | 0.02032 | 0.00464 | 0.05192 | 0.01976 | 0.02659 | GRU | 0.03531 | 0.00471 | 0.06658 | 0.32383 | 0.03742 | CNN | 0.03576 | 0.03396 | 0.06862 | 0.49758 | 0.03509 | MLP | 0.11089 | 0.03635 | 0.18428 | 0.70503 | 0.11089 | (e) Class E |
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