Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?
23761
When is unbalanced data really a problem in Machine Learning?
137100
Validation: Data splitting into training vs. test datasets
84407
How to judge if a supervised machine learning model is overfitting or not?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
99826
Error in `ezANOVA` with balanced dataset with no missing data
145064
Techniques to detect overfitting
67179
AUC and class imbalance in training/test dataset
11139
Why AUC =1 even classifier has misclassified half of the samples?
59364
Why should the data be shuffled for machine learning tasks
158440
Supervised learning with uncertain data?
17834
Calculating the optimal number of bins for severely skewed data
16194
Random Sample vs. As Large a Sample as Possible?
103779
Overfitting a logistic regression model
146238
How to deal with a data-set having all the samples with every feature-point almost similar?
145878
Overfitting on the loss graph, but not the accuracy graph
114711
Exact Sampling from Improper Mixtures
122165
What problem does oversampling, undersampling, and SMOTE solve?