From the course: Introduction to Machine Learning with KNIME

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Regression example

Regression example - KNIME Tutorial

From the course: Introduction to Machine Learning with KNIME

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Regression example

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- Okay, so our first modeling example is going to be linear regression. We're going to be using the linear regression learner, and the partitioning node. Okay, the time has arrived to build a little bit more of an elaborate work flow. Let's build a regression model. Here we go, I'm going to need a file reader. I'm going to use the data set that we have used before. It's in the exercise files, auto. Quick reminder of what this looks like, it's a bunch of car names, and miles per gallons, and variables that we can use to predict miles per gallon. Okay, so since we're going to build a predictive model, we're going to want to create train and test partitions, so let's do that, and we see the partitioning node is a row transform node, but just by spelling it out it's very easy to find. We'll go inside and we want not just the first hundred rows, we want a relative 80%. 80% is not a very big data set, frankly. And that's it. So what we can do, is take a look at our first partition. I didn't…

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