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The general message that I want you to take away from this discussion is that features and information are two different things. What you really want out of your data is information. You want to be able to draw conclusions and have insights. And thats not, strictly speaking, the same thing as having lots of features in the data. So the feature is the actual number or characteristic of a particular data point thats attempting to access information. But its not exactly the same as information itself. So for example, its a little bit like the difference between the quantity of something and the quality. If you have lots of feature you might have a lot of quantity of data. The quality of those features is the information content. So, in general, what you want is the bare minimum number of features that it takes to give you as much information as possible. If theres a feature present that isnt giving you information, you want to get rid of it, because it can cause all of those proble