Accuracy (Data Science): Revision history

From IT위키

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

4 November 2024

  • curprev 11:5511:55, 4 November 2024‎ 핵톤 talk contribs‎ 2,101 bytes +2,101‎ Created page with "Accuracy is a metric used in data science to measure the performance of a model, particularly in classification problems. It represents the ratio of correctly predicted instances to the total number of instances. ==Definition== Accuracy is calculated as: :'''<big>Accuracy = (True Positives + True Negatives) / (Total Number of Instances)</big>''' This metric is often used in classification problems, where the goal is to determine how well a model can predict class labels...." Tag: Visual edit
Retrieved from "https://itwiki.kr/w/Accuracy_(Data_Science)"