Re: Merit of best subset found & Methods
"Francisco Cabrera-Torres" <[email protected]> Fri, 17 Mar 2023 06:12:05 -0000
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <167903352512.310328.9362351503348855452@sys-mailman-prd.its.waikato.ac.nz> |
Thanks for your answer
Which option allows me to constrain the correlation coefficient between [-1, 1]?
On the other hand, I will apply PLS later, however, now I am characterizing heavy metals and I need to select the best wavelengths based on the chemical analyses.
I was telling you that I have 35 soil samples and 16 vegetation samples, each with 2051 columns of wavelengths. Based on your extensive experience, what method and evaluator could you use for subsets of soils and vegetation?
I have currently used several, however, based on the results obtained, the ones that look best visually are:
1. Evaluator: weka.attributeSelection.WrapperSubsetEval -B weka.classifiers.rules.M5Rules -F 5 -T 0.01 -R 1 -E DEFAULT -- -
M 4.0 -num-decimal-places 4
Search: weka.attributeSelection.BestFirst -D 1 -N 5
2. Evaluator: weka.attributeSelection.ClassifierSubsetEval -B weka.classifiers.trees.RandomForest -T -H "Click to set hold out
or test instances" -E DEFAULT -- -P 100 -I 25 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
Search: weka.attributeSelection.BestFirst -D 1 -N 5
Regards
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