Alternatives to a train-test split with a small data set
5304
Cross validation with test data set
123000
how to improve LBP operator by reducing feature dimension
93089
Recommended package for very large dataset processing and machine learning in R
14138
Normality test with large data set
138454
Determining sample size for ML algorithm validation
13664
Bias and variance in leave-one-out vs K-fold cross validation
91880
Suggestions for cost-sensitive learning in a highly imbalanced setting
69637
Random Forests and data transformations
124109
K-fold vs. Monte Carlo cross-validation
34949
Generating a high-dimensional dataset where nearest neighbor becomes meaningless
85059
Tool for generating correlated data sets
121682
Standardize Training and Validation Data
107720
Resampling / simulation methods: monte carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests
77590
Highly unbalanced test data set and balanced training data in classification
96296
Imputation before or after splitting into train and test?
115455
What is the correct way to use train, validation and test set when comparing classifiers?
138537
Training N classifiers for N labels vs one classifier with N labels