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Cross validation : training data 와 validation data 를 분할하여 특정 데이터에 의존성이 낮은 ,
즉 일반화 성능이 좋은 모델 학습시키기.
가장 널리 사용되는 교차 검증 방법은 k-겹 교차검증(k-fold cross-validation)으로 k는 특정 숫자인데 보통 5또는 10을 사용. 분류기의 일반화 성능…
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Feature request for being able to run cross-validation from the command line. When a project has many videos for cross-val, the all k-fold cross-val takes a long time. 😕
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Hi there
Wonderful idea that you have implemented. I was wondering if it would be possible to perform K-Fold cross validation?
Thanks
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Thanks for sharing this excellent work. I am quite curious about your evaluation on SentEval. You report in the paper that all your evaluations on SentEval are based on 10-fold cross-validation, but i…
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Voortgang afgelopen week:
- K-fold cross validation geimplementeerd
- performance verbeterd (F1 score van ongeveer 0.80 naar 0.95)
- beginnetje gemaakt aan methodology sectie van het verslag
Pla…
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Need materials with example codes on various performance metrics in Machine learning,
Here are some of them,
- StratifiedFold
- K Fold Cross validation
- Confusion Matrix
- Precision
- R…
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Goal: Compare random forests with a simple multi layer perceptron in a simple benchmark experiment.
1. We need to define the tasks:
Use three simple small tasks from OpenML: https://mlr3book.ml…
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Hi @rbalshaw @farnushfarhadi
Thanks for the discussion today on cross validation. I'm finding the concepts in machine learning difficult to understand and the sheer depth that you guys go into can…
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Hi there Paul -- first off thanks so much for all your work! I appreciate the improvements to the cross-validation options but I came across an issue :confused:
I am trying to implement "block" cro…
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In the finetune phase, the whole dataset is used which will cause over fitting for the model...
So, I think this can be solved by:
- divide the dataset into training, test & validation sets
- Or, usin…