202602141350
Status: #reference
Tags: Machine Learning, Statistics, Information Retrieval
State: #nascient

Recall (Statistical Power)

The concept of recall, strongly analogous to the concept of statistical power in the frequentist statistics realm; It is a measure of the ability of a system to detect true positives. It is computed as follows:

Recall=True PositiveTrue Positive+False Negative

As we see, recall is not concerned with how many false positives we declare, as its only objective is to measure how many of the true positives we can detect.

It tends to correlate negatively, with our second term, the Precision (1-false discovery proportion).

File Folder Last Modified
Design and Analysis of Experiments 1. Cosmos 8:39 AM - February 27, 2026
(FBeta) E-Score 1. Cosmos 11:29 AM - February 25, 2026
Interpolated Precision 1. Cosmos 2:10 AM - February 25, 2026
Precision (1-false discovery proportion) 1. Cosmos 1:54 AM - February 25, 2026
Boolean Information Retrieval Models 1. Cosmos 3:35 PM - February 18, 2026
F1-Score 1. Cosmos 1:54 PM - February 14, 2026