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

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?

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