Mathematical Problems in Engineering / 2023 / Article / Tab 3 / Research Article
Impact of Parameter Tuning with Genetic Algorithm, Particle Swarm Optimization, and Bat Algorithm on Accuracy of the SVM Model in Landslide Susceptibility Evaluation Table 3 Information value of each factor.
Factors Class No. of pixels Percentage of pixels (%) No. of landslides Percentage of landslides (%) Frequency ratio Information value Lithology Q 163436 9.95 12 8.86 0.890194562 −0.116315231 K 44511 2.71 2 1.27 0.466948943 −0.761535357 J 98767 6.02 11 7.59 1.262626994 0.233194467 T-J 15025 0.92 2 1.27 1.383286678 0.324462318 P 366271 22.31 48 34.18 1.532130517 0.426659261 C 173620 10.57 5 3.80 0.359134305 −1.024058851 D 202868 12.36 7 5.06 0.409808231 −0.892065958 O 50620 3.08 9 6.33 2.052978582 0.719291705 Є 406237 24.74 29 20.25 0.818607433 −0.200150635 Z 113651 6.92 14 10.13 1.46302596 0.380506866 Pt 6952 0.42 2 1.27 2.989720875 1.09518003 Elevation (m) 1785.96–1957.21 430543 26.22 27 18.99 0.724161338 −0.322741069 1957.21–2062.85 388112 23.64 43 30.38 1.285330399 0.251015805 2062.85–2172.72 375369 22.86 57 40.51 1.771952938 0.572082293 2172.72–2292.57 297842 18.14 30 21.52 1.186379381 0.170906132 2292.57–2565.19 150091 9.14 12 8.86 0.969402191 −0.031075695 Aspect N 155001 9.44 14 10.13 1.07272938 0.070206223 NE 149501 9.11 14 10.13 1.112194076 0.10633471 NW 192172 11.70 20 13.92 1.189699457 0.173700718 E 212498 12.94 20 13.92 1.075901533 0.073158946 S 207433 12.63 20 13.92 1.102172384 0.097283126 SE 237872 14.49 20 13.92 0.96113424 −0.039641191 SW 203296 12.38 21 15.19 1.226837665 0.204439854 W 241837 14.73 12 8.86 0.601602984 −0.508157547 Flat 42347 2.58 0 0.00 0 0 Slope (°) 0–4.33 540042 32.89 18 12.66 0.384863878 −0.954865572 4.33–9.67 475766 28.98 45 31.65 1.092147496 0.088145938 9.67–15.53 361275 22.00 36 25.32 1.15060637 0.140289082 15.53–23.42 208305 12.69 29 20.25 1.596448732 0.46778162 23.42–64.92 56569 3.45 14 10.13 2.939315289 1.078176659 SPI −8.46–−1.87 108691 6.62 4 2.53 0.38244686 −0.961165564 −1.87–1.94 524426 31.94 39 27.85 0.871913002 −0.137065628 1.94–3.85 671993 40.93 52 36.71 0.896949386 −0.108755844 3.85–6.91 275964 16.81 36 25.32 1.506302693 0.409658101 6.91–15.88 60883 3.71 11 7.59 2.048282689 0.717001729 TWI 2.94–6.11 474899 28.92 41 29.11 1.006610066 0.006588316 6.11–7.99 657499 40.04 59 41.77 1.043166259 0.042260568 7.99–10.87 310758 18.93 23 16.46 0.869472244 −0.139868867 10.87–15.63 73625 4.48 11 7.59 1.693794159 0.526971077 15.63–28.12 125176 7.62 7 5.06 0.664161367 −0.409230136 Annual rainfall 918.78 mm–934.78 mm 324361 19.75 41 29.11 1.473871256 0.387892447 934.78 mm–946.90 mm 490621 29.88 61 43.04 1.440433216 0.364943913 946.90 mm–960.39 mm 472224 28.76 21 15.19 0.528194086 −0.638291476 960.39 mm–977.07 mm 354848 21.61 18 12.66 0.585757667 −0.534849112 Terrain roughness 1–1.016 1054634 64.23 62 44.30 0.689764699 −0.371404755 1.016–1.058 449637 27.38 54 37.97 1.386736356 0.326953041 1.058–1.144 121897 7.42 18 12.66 1.705067871 0.533604917 1.144–1.436 14916 0.91 7 5.06 5.573683514 1.718056148 1.436–2.356 873 0.05 0 0.00 0 0 Distance to roads (m) 0–896.96 689929 42.02 64 45.57 1.084572801 0.081186177 896.86–2167.65 442994 26.98 29 20.25 0.750728229 −0.286711571 2167.65–3699.95 282239 17.19 20 13.92 0.810095591 −0.210603024 3699.95–5680.74 151690 9.24 12 8.86 0.959183495 −0.041672883 5680.74–9530.18 75203 4.58 16 11.39 2.487527851 0.911289386