Tutorial on f-beta score in python using sklearn in machine learning (formula and implementation)
In this video we will talk about what is fbeta (f-beta) score in machine learning and we will study both the formula and the implementation in sklearn in python programming language. And specifically, we will talk about f2 score formula and f2 score python implementation in sklearn. And also we will talk about the difference between f1 and f2 score. And finally we talk about common values for beta in f-beta score. Also in the beginning of the video, we review the confusion matrix, precision and recall.
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⏱TIMESTAMPS⏱
0:00 - Intro
0:16 - confusion matrix
3:30 - precision
4:19 - recall
4:48 - fbeta (f-beta) score formula
5:04 - f2 score formula
5:42 - f-beta score python (Example: f2 score python)
6:37 - difference between f1 and f2 score
6:55 - common values for beta in f-beta score
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➖ Source Code:
https://t.me/Koolac_Data/56
#sklearn #machinelearning #python_programming
