query: When do we speak of imbalanced data?
positive_passages.docid: 23761
positive_passages.text: When is unbalanced data really a problem in Machine Learning?
negative_passages.docid: 136012
negative_passages.text: why boosting method is sensitive to outliers
negative_passages.docid: 133753
negative_passages.text: When does the amount of skew or prevalence of outliers make the median preferable to the mean?
negative_passages.docid: 80014
negative_passages.text: Should I use t-test on highly skewed data ? Scientific proof, please?
negative_passages.docid: 89953
negative_passages.text: problems in doing logistic regression with unbalanced sample, give me some references
negative_passages.docid: 6923
negative_passages.text: What is the best way to identify outliers in multivariate data?
negative_passages.docid: 6714
negative_passages.text: What is the root cause of the class imbalance problem?
negative_passages.docid: 156714
negative_passages.text: How do I handle nonexistent or missing data?
negative_passages.docid: 45291
negative_passages.text: Overmatching bias and confounding variables
negative_passages.docid: 34133
negative_passages.text: Mann-Whitney-Wilcoxon Test on highly unbalanced groups.
negative_passages.docid: 94048
negative_passages.text: ROC vs Precision-recall curves on imbalanced dataset
negative_passages.docid: 15078
negative_passages.text: When is a biased estimator preferable to unbiased one?
negative_passages.docid: 14
negative_passages.text: How to know that your machine learning problem is hopeless?
negative_passages.docid: 81513
negative_passages.text: When data has a gaussian distribution, how many samples will characterise it?
negative_passages.docid: 156500
negative_passages.text: SVM for unbalanced data
negative_passages.docid: 111170
negative_passages.text: Testing large dataset for normality - how and is it reliable?
negative_passages.docid: 135207
negative_passages.text: Repeated ANOVA unbalanced data