query: How to define loss function for an unbalanced dataset?
positive_passages.docid: 151342
positive_passages.text: Is there an optimal loss function for dealing with imbalanced classes?
negative_passages.docid: 148749
negative_passages.text: Objective function, cost function, loss function: are they the same thing?
negative_passages.docid: 91880
negative_passages.text: Suggestions for cost-sensitive learning in a highly imbalanced setting
negative_passages.docid: 89953
negative_passages.text: problems in doing logistic regression with unbalanced sample, give me some references
negative_passages.docid: 85751
negative_passages.text: Trouble with imputed data set
negative_passages.docid: 145653
negative_passages.text: Balanced sampling for network training?
negative_passages.docid: 10993
negative_passages.text: What should I do when my neural network doesn't generalize well?
negative_passages.docid: 94048
negative_passages.text: ROC vs Precision-recall curves on imbalanced dataset
negative_passages.docid: 5325
negative_passages.text: Unbiased Estimator for a Uniform Variable Support
negative_passages.docid: 156460
negative_passages.text: Expanding a dataset based on a weight field
negative_passages.docid: 81918
negative_passages.text: Multicollinearity in Decision Tree
negative_passages.docid: 138120
negative_passages.text: Linear regression with non-symmetric cost function?
negative_passages.docid: 4409
negative_passages.text: How does one interpret SVM feature weights?
negative_passages.docid: 23038
negative_passages.text: Expected value notation in GAN loss
negative_passages.docid: 118325
negative_passages.text: R: Split unbalanced list in data.frame column
negative_passages.docid: 105631
negative_passages.text: Tensors in neural network literature: what's the simplest definition out there?
negative_passages.docid: 2180
negative_passages.text: What do the subscripts in expectations mean in loss function