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Assignment 2 aims to find misinformation on social network, i.e., identify profiles that
are mistakenly recorded as human/non-human profiles
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I'm using a factor variable in R to perform a custom k-fold cross-validation. This column, called 'foldset', is a factor with levels 1 to 5. Level 1 is reserved for test purposes and levels 2:5 are us…
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Currently, canonical SMILES are being used to ...
- split the training set into cross-validation folds (create_training_sets.py)
- tabulate the frequency with which unique molecules appear in any …
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Hi,
I run as following part, and then I got error message: PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'batches\\32891163.case_000…
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Thank you for integrating and opensource the Benckmark dataset.
I noticed that there are some inconsistencies between statistics in the paper and the released data in `benchmarks/CodonBERT/data`. He…
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Hola, resulta que estoy tratando de formar los k fold en cross validation para poder meterlos a algún modelo y poder testear, pero me tira siempre el error de que mi variable a predecir tiene que ser …
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Add an `nfolds` argument, similar to the other H2O algos, which will perform k-fold cross-validation on the ensemble. This is not to be confused with the internal CV inside the Super Learner algorith…
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Hello,
For k-fold cross validation, how much of the multi-task support is implemented? If I were to modify line 364 of main.py locally to return a random task, although not ideal, how would this affe…
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3-4 Introduction
- [ ] Project Overview (background, Objective, Importance)
- [ ] Propaganda, advertising target population, renter selection, fee
- [ ] Dataset Overview
- [ ] nrow(test/tr…
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Greetings,
I would like to know if it is possible to change the number of folds in the (stratified) cross validation internally for each generated model. Currently, this parameter has a default val…