
Precision attempts to answer the following question: What proportion of positive identifications was actually correct? Recall attempts to answer the following question: What proportion of actual positives was identified correctly? In this video, we aim to uncover the use of Precision & Recall to evaluate machine learning models. If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: GitHub - https://github.com/bhattbhavesh91 Medium - https://medium.com/@bhattbhavesh91 #Precision #Recall #machinelearning #python #datascience
Precision & Recall for a Machine Learning Model - YouTube |
30 Likes | 30 Dislikes |
1,518 views views | 4,589 followers |
Education | Upload TimePublished on 25 Feb 2018 |
No comments:
Post a Comment