Details
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Bug
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Status: Done
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Major
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Resolution: Done
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None
Description
When running artificial experiments using only nominal attributes with
generators.RandomTreeGenerator -c 2 -o 50 -u 0
2 classes, 50 nominal attributes, 0 numerical attributes, accuracy goes down to 53%. However, in the case
generators.RandomTreeGenerator -c 2 -o 50 -u 0
with 50 numerical attributes, 0 nominal attributes, VHT is performing well with 95.42% of accuracy.
To reproduce:
bin/samoa local target/SAMOA-Local-0.4.0-incubating-SNAPSHOT.jar "PrequentialEvaluation -d /tmp/dump.csv -i 1000000 -f 100000 -l (classifiers.trees.VerticalHoeffdingTree -p 4) -s (generators.RandomTreeGenerator -c 2 -o 50 -u 0)"