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I would suggest k=10.
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The library documentation do not provide much guidance on test/train split and cross validation. See below an implementation using KFold object in sci-kit learn.
How does the blocking strategy used…
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FR05E
The system should calculate and present—in a nice way—measures of accuracy of the trained model. I recommend 10-fold cross validation.
Must
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In order to reduce overfitting, I would like to ask for a new parameter: "n_repetitions". This parameter sets the number of complete sets of folds to compute for repeated k-fold cross-validation.
C…
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Hi AutoGluon team,
I'm using TabularPredictor for temporally ordered tabular data and need more flexible cross-validation options. The current CV methods and "groups" parameter don't suffice for ma…
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Hello!
I am using v 0.25.4 of lifelines
I have recently started using lifelines and saw this in the documentation:
> lifelines.utils.k_fold_cross_validation(fitters, df, duration_col, event_col=N…
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Given a signal with high dimensionality, compare several compression methods, and chose the one that is the most efficient and that better recovers the original data.
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## 📌 이슈 설명
Age 부분에 Stratified K-Fold Cross Validation을 적용해보려고 합니다.
Age부분의 60대 이상 데이터 비율이 매우 낮아, 이를 적용하는 것이 의미가 있다고 생각합니다.
## 📋 체크리스트
- [x] 관련 문서를 확인했습니다.
## 📎 관련 자료
https://blog.naver.…
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Algo-params K and L:
- [ ] [k](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/k.html)
- [ ] [keep_cross_validation_fold_assignment](https://docs.h2o.ai/h2o/latest-stable/h…