Recall

Recall is a metric used in machine learning to evaluate the performance of a classification model. It measures the proportion of actual positive cases that were correctly identified by the model. In other words, it calculates the percentage of relevant instances that were retrieved by the model out of all relevant instances. Recall is particularly useful when the cost of false negatives is high, such as in medical diagnosis or fraud detection. A high recall score indicates that the model is good at identifying positive cases, but it may also produce a large number of false positives. On the other hand, a low recall score means that the model is missing many positive cases, which can be costly in certain applications.

Your Previous Searches

Random Picks

Transmission Control Protocol: Transmission Control Protocol (TCP) is a core protocol of the Internet Protocol (IP) suite. It is responsible for establishing and maintaining a reliable, ordered, and error-checked connection between applications running on different hosts ... Read More >>
Market Share Analysis: Market Share Analysis is a process of evaluating the performance of a company or a product in a particular market by comparing its sales with the total sales of all the competitors in that market. It is a quantitative analysis that helps bu ... Read More >>
Maintenance: Maintenance refers to the process of ensuring that a system or machine is operating correctly and efficiently. In the context of data science and artificial intelligence, maintenance involves the ongoing monitoring and management of data sy ... Read More >>

Recall

Your Previous Searches

Random Picks

Top News

Polish radio station abandons use of AI 'presenters' following outcry...

Apple announces new iMac with M4 chip, starts at $1,299...

Arm CEO says AI growth is being limited by finding enough talent: 'I need more e...

Apple releases Apple Intelligence. Here's how to get it on your iPhone....

Google reportedly paid $2.7 billion for a deal with Character.AI. Now, it's enta...