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rep k fold cross validation, train test split and overfitting

I've recently gotten into ML and I'm a bit confused about rep k fold cross validation, train, test split and overfitting. I have already read some of the posts in this forum, but none of them could ...
Domi's user avatar
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1 answer
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Should AIC be reported on training or test data? [duplicate]

I have a handful of logistic regression models and I would like to report AIC. Should I report it on training or test data? I have quite a big dataset and a maximum of 10 predictors in any of the ...
lola's user avatar
  • 139
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Scaling a gene expression data generates NA values

I would like to analyze the prostate gene expression data which has a link named 12859_2005_967_MOESM4_ESM.tgz in the site here. In a paper I read, the author scaled the predictors in the training set ...
mert's user avatar
  • 313
1 vote
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Partitioning data set for training, testing, and production deployment of machine learning churn classifier

I am new to machine learning. I am working on churn prediction for a customer. I am wondering how best to partition the data for training/test/production deployment. My thinking is that churning ...
profjavadev's user avatar