discretizing by binning in rapidminer

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Hi everyone, I am trying to learn how to use this tool and I am wondering what it means to discretize the data by binning. What is it actually doing?

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Anonymous 0 Comments

I don’t know anything about this tool, but to discretize a variable by binning it means the following.

Say I have a dataset that tracks the speed of passing cars down the road. Speed is continuous. A car may be going 10 mph, 10.2 mph, 103.456521 mph, etc.

“Binning” continuous data means organizing that data into categories (called bins) based on their value. Bins may be something like “0-10 mph, 10-20 mph” etc.

There are a set number of bins. It’s not continuous. It’s now discrete. You’re either in bin 1, bin 2, etc. You can’t be in bin 1.1.

We’ve taken some continuous data and made it discrete by sorting it into bins.

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