In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple ...
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In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously ...
In statistics, a false coverage rate (FCR) is the average rate of false coverage, i.e. not covering the true parameters, among the selected intervals.
A false positive is an error in binary classification in which a test result incorrectly indicates the presence of a condition while a false negative is the ...
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The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number ...
Univariate feature selector with configurable mode. References. https://en.wikipedia.org/wiki/False_discovery_rate. Examples. >>> from sklearn.datasets import ...
Schematic representation of the Storey-Tibshirani procedure for correcting for multiple hypothesis testing, assuming correctly calculated p-values. y-axis is ...
E. Extensions of Fisher's method. F. False coverage rate · False discovery rate · False positive rate · Family-wise error rate · Forking paths problem. H.
In statistics, family-wise error rate (FWER) is the probability of making one or more false discoveries, or type I errors when performing multiple ...