Accuracy and Confusion Matrix | Type 1 and Type 2 Errors | Classification Metrics Part 1
Channel: CampusX
Date: 2021-06-23

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/100-days-of-machine-learning/tree/main/day59-classification-metrics

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⌚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?