python - Cross-validation with PyTorch - Stack Overflow
May 3, 2025 · I am trying to implement cross-validation with PyTorch; I am used to Sklearn's cross_validation function which is much simpler to use (most likely because I did not fully …
Cross Validation in Weka - Stack Overflow
May 4, 2012 · Then cross-validation is run. cross-validation involves creating (in this case) 10 new models with the training and testing on segments of the data as has been described. The key …
Cross validation: train/test set split necessary?
Nov 20, 2020 · Cross-validation is one specific case of k-fold validation where k = (1/split_rate) - 1 and doing just 1 round of validation. So you do not need cross-validation when you already do …
cross validation - understanding python xgboost cv - Stack Overflow
Dec 26, 2015 · Cross-validation is used for estimating the performance of one set of parameters on unseen data. Grid-search evaluates a model with varying parameters to find the best …
KFolds Cross Validation vs train_test_split - Stack Overflow
Mar 6, 2018 · I was reading about how cross-validation is important to avoid overfitting of data and hence obtain better results. I implemented StratifiedKFold using sklearn, however, surprisingly …
Logistic regression and cross-validation - Stack Overflow
I am trying to solve a classification problem on a given dataset, through logistic regression (and this is not the problem). To avoid overfitting I'm trying to implement it through cross-validation...
cross validation - How to use TimeSeriesSplit in cv as mentioned in …
May 10, 2018 · Trying to use 10 fold TimeSeriesSplit(), but in the documentation of cross_val_score, it is given that we need to pass a cross-validation generator or an iterable.
cross validation - What is OOF approach in machine learning?
Sep 19, 2018 · I have seen in many kaggle notebooks people talk about oof approach when they do machine learning with K-Fold validation. What is oof and is it related to k-fold validation ? …
python - How to split/partition a dataset into training and test ...
What is a good way to split a NumPy array randomly into training and testing/validation dataset? Something similar to the cvpartition or crossvalind functions in Matlab.
ImportError: No module named sklearn.cross_validation
Jun 5, 2015 · from sklearn.cross_validation import train_test_split This isn't ideal though because you're comparing package versions as strings, which usually works but doesn't always.