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classification
5 answered questions tagged “classification”. Browse and search all answers, or ask your own.
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How do you compare two classifiers across several datasets?
Means, win counts and the Wilcoxon signed-rank test each summarize per-dataset scores differently. Here is what each one tells you and which to report.
Read the answer →Precision-recall or ROC: which should you use for rare outcomes?
Precision drops as positives get rarer; sensitivity and specificity do not. When precision-recall beats ROC, and how to report average precision.
Read the answer →Why Euclidean distance breaks down in high dimensions
Why distances between points become nearly equal as features pile up, and how to tell if clustering on 100 features is still trustworthy.
Read the answer →Why is accuracy a poor way to judge a classification model?
Why the share of correct labels misleads with rare outcomes, ignores probabilities and costs, and which measures (Brier score, log loss, AUC) to use instead.
Read the answer →What is AUC? The area under the ROC curve, explained
AUC is the area under the ROC curve: the chance a model ranks a random positive case above a random negative one. How to read, compute and report it.
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