Data Mining For Statisticians Part 2
This video is dedicated to MARS (Multivariate Adaptive Regression Splines). It starts with an overview of splines, specifically smoothing splines. We discuss the MARS built-in automation for finding 'knots' and how MARS is able to accomplish this through the use of basis functions. We then move onto the three main stages of the MARS algorithm: forward stage, backwards stage, and the selection stage. This is followed up with a live run of MARS to compare with the results obtained from the previous video using linear regression.
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