Research Article
Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm
Table 2
Comparison of HLGSA, MARS, M5RT, and CMLR methods: Astore catchment.
| Indexes | Cross validation data sets | Input combinations | Methods | HLGSA | MARS | M5RT | CMLR |
| | DS1 | IC1 | 56.80 | 57.75 | 71.96 | 83.44 | IC2 | 44.80 | 53.48 | 56.66 | 59.75 | IC3 | 51.01 | 55.28 | 80.52 | 55.66 | DS2 | IC1 | 72.58 | 73.83 | 83.09 | 97.06 | IC2 | 65.42 | 67.06 | 68.28 | 69.44 | IC3 | 66.97 | 68.07 | 101.99 | 68.08 | DS3 | IC1 | 58.27 | 65.16 | 66.36 | 91.31 | IC2 | 47.38 | 51.59 | 59.57 | 69.20 | IC3 | 47.61 | 56.20 | 67.22 | 65.93 | DS4 | IC1 | 46.93 | 57.75 | 61.29 | 74.79 | IC2 | 40.09 | 43.46 | 57.26 | 61.40 | IC3 | 42.57 | 48.14 | 59.20 | 58.08 |
| | DS1 | IC1 | 34.32 | 38.34 | 42.05 | 51.91 | IC2 | 27.03 | 32.30 | 33.45 | 26.36 | IC3 | 31.67 | 33.75 | 46.80 | 25.05 | DS2 | IC1 | 44.24 | 49.12 | 52.21 | 57.67 | IC2 | 37.86 | 37.96 | 39.12 | 42.11 | IC3 | 38.27 | 38.92 | 53.77 | 40.25 | DS3 | IC1 | 33.80 | 35.79 | 40.08 | 52.33 | IC2 | 27.14 | 29.23 | 32.47 | 34.33 | IC3 | 28.81 | 30.84 | 42.56 | 31.06 | DS4 | IC1 | 32.20 | 37.19 | 38.46 | 46.80 | IC2 | 25.05 | 28.36 | 29.83 | 39.48 | IC3 | 26.36 | 30.22 | 33.74 | 32.70 |
| | DS1 | IC1 | 0.831 | 0.822 | 0.732 | 0.693 | IC2 | 0.889 | 0.851 | 0.835 | 0.815 | IC3 | 0.852 | 0.849 | 0.745 | 0.837 | DS2 | IC1 | 0.826 | 0.820 | 0.729 | 0.685 | IC2 | 0.850 | 0.846 | 0.822 | 0.811 | IC3 | 0.848 | 0.834 | 0.630 | 0.824 | DS3 | IC1 | 0.849 | 0.830 | 0.773 | 0.694 | IC2 | 0.901 | 0.880 | 0.851 | 0.831 | IC3 | 0.898 | 0.861 | 0.810 | 0.844 | DS4 | IC1 | 0.892 | 0.882 | 0.813 | 0.699 | IC2 | 0.916 | 0.900 | 0.888 | 0.853 | IC3 | 0.906 | 0.893 | 0.874 | 0.882 |
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