Comments (3)
Sentimentron
commented on June 24, 2024
0% accuracy? That sounds pretty unusual.
I think you need to be a collaborator to get assigned to this issue. You've had a pull request merged, so I'm sure @sjwhitworth can sort that out.
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amitkgupta
commented on June 24, 2024
Yup. 0% for one of the three iris labels, not 0% over all. And it wouldn't happen all the time, but about 1 in 4 runs of the test. Increasing the size of the RF helped things, but then I started seeing the memory panics which you know about and fixed.
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Sentimentron
commented on June 24, 2024
So one way I found of correcting the problem is to reduce the significance level for discretisation to 0.6 and also reduce the amount of data used for pruning. This helps the ID3 algorithm to build a better tree and so seems to reduce the variability of the results (at least on my machine).
Relevant branch.
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