Hello,
I am using the R package 'biomod2' to model the distribution of a species. I am using the maxent algorithm. However, I'm having issues with model validation.
When I check my metric evaluation (TSS and ROC) I notice that the values for Testing.data are not being generated.
I'm using the following code in R studio to get the model:
model_maxent = BIOMOD_Modeling(back, modeling.id = paste(name), models = c("MAXENT"), bm.options = options, nb.rep = 50, data.split.perc = 70, do.full.models = FALSE, prevalence = 0.5, metric.eval = c("TSS","ROC"), var.import = 100, save.output = TRUE, nb.cpu = 1, do.progress = TRUE)
Am I doing something wrong?
The image shows the table resulting from the algorithm get_evaluations(model_maxent)
The only thing you are doing wrong in my opinion is combining Maxent with R. This is because R wastes so much of our time trying to learn it, and by the time you do (if indeed you do), it's often too late. I will never use it, but instead use preset packages, such as Systat, Python, SPSS, MATLAB, NetLogo, etc. Surely one of those can do what you ask? :)
- Badges
- Science topic
- Similar topics
- Mathematics
- Algebra
- Matrix