Dear all,
I'm testing my models with different numbers of samples for different species of one genus. I’m using different combinations of features (L, H, LQ, LHQ) and regularization multiplier (from 1 to 6 - seq. by 0,5). Do you think it's a good way how to choose the best combination for each species?
My results untill now:
For example I have two species with the same number of samples (13), but the best combination for the first one is LQ1 and for the second one L1.
Then:
23 sampl. - LQ1,5,
40 sampl. - H1
26 sampl. - H2
14 sampl. - H2,5
6 sampl. -H1
I'm using Pearson et al.' Jackknife method for species < 20 samples and as the best combination = lowest OR + highest AUC, and 10 replicates average AUC for species > 20 samples and as the best combination = highest AUC.
I will be glad if someone could help.
Thank you,
Lukas