To discuss the omission error of a model, do I use the omission result from training or testing? In the ENMEVAL article, it talks about the test result (?) for MTP and 10%, but is it for maxSSS?
What is the expected value of the omission error for maxSSS?
Example for this model in SDMtune package:
Maximum training sensitivity plus specificity
Cloglog value:
0.574666206
Fractional predicted area:
0.15
Training omission rate : 0.44
Test omission rate: 0.05
Maximum test sensitivity plus specificity
Cloglog value:
0.59
Fractional predicted area:
0.14
Training omission rate : 0.45
Test omission rate: 0.05
Which result is correct to say the model omission error? Training or testing?
And to generate the binary map, I must use the test cloglog, correct?