Monte carlo upsamling for imbalanced data to balance the class before Machine learning algorithm
40442
Is up- or down-sampling imbalanced data actually that effective? Why?
41200
Understanding Naive Bayes
104182
regression for binary classification
59364
Why should the data be shuffled for machine learning tasks
40629
How to do a bias-variance analysis on a machine learning modelling process
73139
Flexible and inflexible models in machine learning
107224
Why you shouldn't upsample before cross validation
139640
Bias the classification in logistic regression
18820
For imbalanced classification, should the validation dataset be balanced?
135207
Repeated ANOVA unbalanced data
98863
Which metric to use to evaluate highly imbalance classification model performance
110031
How to threshold multiclass probability prediction to get confusion matrix?
20173
hard voting, soft voting in ensemble based methods
156500
SVM for unbalanced data
19145
Validation of machine learning algorithms implementation
94048
ROC vs Precision-recall curves on imbalanced dataset
58700
Biased and Efficient estimators