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Hi!
I'm intrigued that you simply used `glm()` to build your model. How did you estimate your AUC before submission? I would have probably used cross validation to get a local estimate of how well …
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It would be nice to use `RepeatedKFold` with with `cross_val_predict`. It's possible use `cross_val_score` with repeated K folds, but a `ValueError` is thrown with `predict`
```
model = LogisticRe…
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There is a recent paper entitled "Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection" (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140774/) that attempt to address…
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Is the experiment for MAWPS-s using 5-fold as well? It seems yes to me as the paper reported.
I got around 85.4 accuracy on MAWPS using train/dev/test. Wondering if I'm correct here.
![image](https:…
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Hi, I have some questions when I read your paper. Your paper had produced an ensemble model method to improve model performance by compute the FDR score. I want to know how get the FDR score when I ju…
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Hi,
Could you help me one more time?
I want to run cross validation in **'tan_cl'** function to learn structure and to get **predicted class label and probabilities for each label**.
As we…
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how to determine the final best number of feathers ?
i got that svm-rfe is a nice way to solve feathers selection,
but i didn't realize how to determine how many feathers is the best,
can u show …
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Hi,
Thanks for you paper and code which helped me a lot.
I tried to run the code, but it stoped at
'X_train, y_train, X_test, y_test = data_loader.load_data(seq_len=hparams.max_time_step)'
I…
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and/or train tree by tree with callbacks whether to stop training?
that'd be nice.
Doesn't have to be a python callback. c++ is fine if you don't want to lose in speed performance.