Accuracy and Confusion Matrix | Type 1 and Type 2 Errors | Classification Metrics Part 1

Описание: In this video. we'll explore accuracy and the confusion matrix, unraveling the concepts of Type 1 and Type 2 errors. Join us on this journey to understand how these metrics play a crucial role in evaluating the performance of classification models.

Code used: https://github.com/campusx-official/1...

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in/s/store
============================

📱 Grow with us:
CampusX' LinkedIn:   / campusx-official  
CampusX on Instagram for daily tips:   / campusx.official  
My LinkedIn:   / nitish-singh-03412789  
Discord:   / discord  
E-mail us at [email protected]

⌚Time Stamps⌚

00:00 - Intro
00:46 - Accuracy
06:25 - Code Example using SKL
08:35 - Accuracy of multi-classification problem
10:18 - How much accuracy is good?
13:16 - The problem with Accuracy Score
15:30 - Confusion Matrix
23:15 - Type 1 Error
25:53 - Confusion Matrix for Multi Classification Problem
30:03 - When is accuracy misleading?