Classification where we are more confident in some training samples than others
158440
Supervised learning with uncertain data?
151342
Is there an optimal loss function for dealing with imbalanced classes?
45881
Methods to work around the problem of missing data in machine learning
85497
Parametric vs non-parametric machine learning methods
113807
Testing Classification on Oversampled Imbalance Data
1731
Estimate model with dummies for whole sample versus model without dummies for each subsample
132330
Uncertainty modeling for samples
31183
Finding confidence level
18820
For imbalanced classification, should the validation dataset be balanced?
25399
Predicting with both continuous and categorical features
130691
Compare classifiers based on AUROC or accuracy?
137100
Validation: Data splitting into training vs. test datasets
66215
Training a decision tree against unbalanced data
20531
Why is accuracy not the best measure for assessing classification models?
92981
Exercise: Should we trust our naive bayes or a human "guru"?
141640
Sklearn - Choosing the right model for supervised learning/classification task
5325
Unbiased Estimator for a Uniform Variable Support