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I'm using the `compare_model()` for the classification problem. It was running well during the process but in the end, it does not print anything but an empty list.
```
print(best_specific)
>>> []…
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is it possible to do k-fold cross validation?
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Test predictive ability of model using k-fold cross-validation.
Possibly also consider $R^2$.
Links:
* https://robjhyndman.com/hyndsight/crossvalidation/
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make a separate issue and describe which course are going to add
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Reviewer #1
1. Although they are pulling together 46 survey items from 88 datasets, it is not clear how much the items overlap. My guess is that for some countries and years, there are multiple item…
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Hi @juhongm999
Thank you for the code and the great new approach for few-shot segmentation.
I have several questions that would be great If you answer.
As I see in the code, you are saving t…
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I have trained a NEP model on ~130 structures; the model itself seems fine for the most part, but the predicted energies are rather odd. A parity plot based on the contents of `energy_train.out` has b…
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I'm looking for a way to incorporate sweeps into my training script which will allow me to do:
- Manual runs
- K-Fold Cross Validation using the same hyperparameters (I split my dataset differently …
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### Topic Suggestion
[Machine Learning] How to Implement K fold Cross-Validation in Scikit-Learn
#### Proposed title of the article
How to Implement K fold Cross-Validation in Scikit-Learn
###…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD