In this video, we'll see RANSAC Regression, short for Random Sample Consensus. It can be used to make other ML models to become outlier resistant. For example, the line of best fit for linear regression is highly sensitive to outliers.
By using RANSAC algorithm, we can ensure, the trained Linear Reg model becomes resistant outliers.
Let's understand how RANSAC algorithm works very clearly in this one.
Chapters
00:00 Introduction
01:06 How RANSAC Works
02:55 Removing Outliers
03:26 Threshold Rules
04:44 Stopping Criteria
05:07 RANSAC Regressor Parameters
06:46 Results Comparison
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