I like to explore patterns in data with the hopes of stumbling onto something that helps me get to a new vantage point. Views are my own.
The problem with this method is that by removing one feature at a time, you don’t get the effect of features on each other (non-linear effect). Maybe the combination of feature X and feature Y is making the noise, and not only feature X.
Irrelevant or partially relevant features can negatively impact model performance. Feature Selection and Data Cleaning should be the first and most important step in designing your …
If I’m living in a world where the pizza delivery time is 30 minutes or less (null hypothesis is true), how surprising is my evidence in real life?
What Are Mandelbrotian Variations?
It’s lovely and useful. Until we get to problems that live in Extremistan.
…of all observations from data, means that a person’s height is something that lives in the world of Mediocristan. You may remember that idea from yesterday’s article. There are such things as sure bets in Mediocr…