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:
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).
Relevant Links
| 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 |