For questions related to leave-one-out cross-validation, where you use 1 observation (from the dataset of N observations) for validation/testing and the remaining N - 1 samples for training the model; you can then repeat this N times, so that each sample is used for testing once; then you can also average the results.
Questions tagged [loocv]
2 questions
7
votes
1 answer
What is the best measure for detecting overfitting?
I wanted to ask about the methodology of testing the ML models against overfitting. Please note that I don't mean any overfitting reducing methods like regularisation, just a measure to judge whether a model has overfitting problems.
I am currently…
GKozinski
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3
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1 answer
Should I use leave-one-out cross-validation for testing?
I am currently working with a small dataset of 20x300. Since I have so few data points, I was wondering if I could use an approach similar to leave-one-out cross-validation but for testing.
Here's what I was thinking:
train/test split the data,…
Diogo Bastos
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