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. 2017 Sep 6;284(1862):20171157. doi: 10.1098/rspb.2017.1157

Table 1.

Summary of partial receiver operating characteristic tests for Maxent and minimum volume ellipsoid (MVE) models, in terms of number of non-significant (α = 0.05) iterations, range of partial ROC AUC ratio scores, and mean AUC ratio for each sub-sample; AUC ratios above 1.0 are indicative of better-than-random model predictions. (Partial ROC (pROC) tests evaluate the statistical significance of niche model predictions in comparison with a random classifier, subject to a maximum proportional amount of omission error (E; [39]): no. NS indicates the number out of 100 random replicate analyses for which the AUC ratio was greater than 1, pROC range and mean indicate the general magnitude of the AUC ratios across the 100 replicate analyses, and ln bias indicates results from the bias surface that was natural-log transformed.)

thinned
balanced
subsample no. NS pROC range mean pROC no. NS pROC range mean pROC
MVE E = 1% 1 100 0.963–0.998 0.979 5 0.986–1.327 1.125
2 81 0.963–1.063 0.989 19 0.977–1.925 1.177
3 96 0.964–1.030 0.987 3a 0.979–1.334 1.157
4 93 0.964–1.021 0.986 2a 0.983–1.303 1.133
5 96 0.963–1.038 0.979 21 0.962–1.344 1.129
E = 5% 1 95 0.964–1.038 0.983 10 0.984–1.327 1.125
2 60 0.963–1.087 0.996 5 0.981–1.300 1.197
3 87 0.964–1.066 0.990 4a 0.974–1.342 1.177
4 80 0.965–1.050 0.993 1a 0.980–1.326 1.210
5 96 0.963–1.046 0.980 33 0.962–1.320 1.094
Maxent no bias 1 0a 1.018–1.377 1.088 0a 1.196–1.467 1.353
2 0a 1.032–1.393 1.109 0a 1.236–1.455 1.351
3 0a 1.020–1.394 1.077 0a 1.153–1.499 1.347
4 0a 1.013–1.171 1.056 0a 1.320–1.494 1.367
5 0a 1.029–1.391 1.134 0a 1.140–1.532 1.334
bias 1 15 0.994–1.092 1.028 0a 1.022–1.276 1.110
2 2a 0.997–1.130 1.048 0a 1.010–1.207 1.054
3 1a 0.998–1.224 1.078 0a 1.016–1.216 1.105
4 8 0.997–1.153 1.047 0a 1.005–1.191 1.060
5 1a 0.996–1.560 1.045 0a 1.017–1.262 1.105
ln bias 1 13 0.996–1.099 1.029 0a 1.111–1.292 1.190
2 4a 0.997–1.130 1.043 0a 1.076–1.245 1.153
3 0a 1.006–1.205 1.074 0a 1.163–1.319 1.209
4 4a 0.999–1.259 1.046 0a 1.108–1.237 1.188
5 7a 0.996–1.141 1.036 0a 1.063–1.297 1.196

aDenotes significant sub-sample evaluation.