Research Article
Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning
Table 7
Deep learning for univariate time series evaluation results.
| | MAE | MSE | RMSE | MAPE | RMSLE |
| CNN-LSTM | 0.04083 | 0.00364 | 0.06035 | 0.08108 | 0.04843 | LSTM | 0.07316 | 0.00705 | 0.09206 | 0.08192 | 0.06384 | GRU | 0.08491 | 0.00866 | 0.09306 | 0.09151 | 0.081 | CNN | 0.10512 | 0.00879 | 0.2927 | 0.14614 | 0.07909 | MLP | 0.12537 | 0.08568 | 0.19468 | 0.77838 | 0.12537 | (a) Class A |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00616 | 0.00714 | 0.0074 | 0.05434 | 0.00616 | LSTM | 0.04043 | 0.04718 | 0.04977 | 0.08423 | 0.00404 | GRU | 0.04404 | 0.05247 | 0.04989 | 0.18194 | 0.03956 | CNN | 0.03939 | 0.08383 | 0.09927 | 0.77724 | 0.13109 | MLP | 0.1261 | 0.05533 | 0.28953 | 0.88942 | 0.1261 | (b) Class B |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.02172 | 0.00126 | 0.03547 | 0.09764 | 0.02864 | LSTM | 0.03332 | 0.00243 | 0.06397 | 0.07606 | 0.03059 | GRU | 0.0338 | 0.00252 | 0.04974 | 0.65142 | 0.03546 | CNN | 0.12709 | 0.00983 | 0.14989 | 0.73808 | 0.06779 | MLP | 0.13366 | 0.0851 | 0.29171 | 0.91345 | 0.12709 | (c) Class C |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.00913 | 0.00852 | 0.01545 | 0.54338 | 0.00927 | LSTM | 0.01596 | 0.00621 | 0.02222 | 0.49018 | 0.01717 | GRU | 0.01663 | 0.08175 | 0.02151 | 0.74992 | 0.01612 | CNN | 0.12113 | 0.08763 | 0.28592 | 0.53462 | 0.12113 | MLP | 0.12187 | 0.15624 | 0.29603 | 0.80945 | 0.12187 | (d) Class D |
| | MAE | MSE | RMSE | MAPE | RMSLE | CNN-LSTM | 0.01213 | 0.00198 | 0.04331 | 0.00727 | 0.02345 | LSTM | 0.02244 | 0.00466 | 0.13236 | 0.02329 | 0.02687 | GRU | 0.03553 | 0.00475 | 0.06827 | 0.33448 | 0.03836 | CNN | 0.03746 | 0.08376 | 0.06893 | 0.67174 | 0.0418 | MLP | 0.1227 | 0.08708 | 0.28941 | 0.71862 | 0.1227 | (e) Class E |
|
|