From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

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Building models in KNIME

Building models in KNIME - KNIME Tutorial

From the course: Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

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Building models in KNIME

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- [Narrator] Okay. We're in a newly restarted copy of nine. You don't need any data files. You don't need any workflows. We're just going to do very simple review of how to build a model in nine, and we're going to do so with existing resources right within nine. So first, let's go to the example server and log in, and then we can go to analytics. And here we go. I want this one actually, classification and prediction modeling. And the very first one will be just fine for us, example for learning a decision tree. So double click on that. We can zoom in a little bit. I think we have room to go even one click higher. I'm not going to try to reproduce the amount of detail that you would see in an introductory nine-course just enough. So that you'll be familiar with the look and feel of a modeling workflow. So we've got the data coming in, by the way it's some information about the shuttle and we can right click on…

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