Importance of the selected variables by algorithm in governing the distribution of
| GAM | GBM | GLM | CTA | RF | ANN | FDA | MARS | MaxEnt | |
|---|---|---|---|---|---|---|---|---|---|
| BIO1 | 0.160 | 0.000 | 0.116 | 0.002 | 0.022 | 0.012 | 0.178 | 0.122 | 0.001 |
| BIO3 | 0.066 | 0.031 | 0.141 | 0.127 | 0.092 | 0.022 | 0.079 | 0.118 | 0.015 |
| BIO4 | 0.134 | 0.001 | 0.017 | 0.005 | 0.005 | 0.188 | 0.181 | 0.133 | 0.010 |
| BIO12 | 0.108 | 0.093 | 0.019 | 0.157 | 0.111 | 0.064 | 0.036 | 0.028 | 0.043 |
| BIO13 | 0.172 | 0.006 | 0.151 | 0.007 | 0.064 | 0.269 | 0.150 | 0.139 | 0.042 |
| BIO14 | 0.082 | 0.031 | 0.094 | 0.040 | 0.054 | 0.029 | 0.036 | 0.069 | 0.334 |
| HII | 0.129 | 0.832 | 0.272 | 0.639 | 0.513 | 0.278 | 0.132 | 0.221 | 0.472 |
| Distance | 0.025 | 0.000 | 0.007 | 0.002 | 0.003 | 0.073 | 0.008 | 0.015 | 0.012 |
| WTC | 0.124 | 0.006 | 0.182 | 0.020 | 0.118 | 0.064 | 0.200 | 0.155 | 0.071 |
The relative importance of each variable was presented.
GAM: General Additive Models; GBM: General Boosted Models; GLM: General Linear Models; CTA: Classification Tree Analysis; RF: Random Forests; ANN: Artificial Neural Networks; FDA: Flexible Discriminant Analysis; MARS: Multiple Adaptive Regression, Splines; MaxEnt: Maximum Entropy Model; HII: human influence index; WTC: water temperature of coldest month.