Simon Dedman
Simon Dedman
See "gbm.auto team assemble!" email from me, 2021-10-07, and /home/simon/Dropbox/Galway/Analysis/R/gbm.auto/Gbm.auto_extras/Report_Statistics_Explainer_Improvements.ods Chuck: > I've actually found the eval metrics as they exist right now to be really helpful (especially now that...
see /home/simon/Dropbox/PostDoc Work/Machine Learning & Evaluation/ML&E Notes.docx this file now in gbm.auto extras subfolder in this github.
see also https://github.com/adamlilith/enmSdm#model-evaluation & more sections
and https://rspatial.org/raster/sdm/5_sdm_models.html#model-evaluation
NFF plotly code, see https://plotly.com/r/3d-scatter-plots/
option to auto-export biggest interactions datasets to be plotted later if people want? Are the biggest interactions a function of the values of the variables? If you centre and scale...
@BonnieAhr you don't need to predictive map to run loop, it'll generate the summaries of various report outputs regardless.
 Elith et al 2008 working guide SM. All elements now encapsulated in google docs table. In the gbm.step outputs, they list (presumably based on importance/relevance): - mean total deviance...
How to understand/read the ML evaluation plots, what to look for. Have all the explanation in a document that lives in gbm.auto somewhere, maybe as a dataframe that people can...