From the course: Introduction to Machine Learning with KNIME
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Decision tree: Scoring new data - KNIME Tutorial
From the course: Introduction to Machine Learning with KNIME
Decision tree: Scoring new data
- [Instructor] Okay, we're going to pick up where we left off. One of the fun things about using the Titanic data set is there's a completely separate file that we can use to practice scoring new data. So let's do that. I'm going to make a copy of my file reader. Okay, bring that over here. And I'm going to grab the test file, test.csv, which I provided for you but you can also get it from the Kaggle data set. And there's a couple of things you might notice. First is if you look for Mr. James Kelly and Mrs. James Wilkes and others, you're going to find that they weren't in the original data set. The other thing that you're going to find is that this data file does not have the variable survived. That's the whole point of building a predictive model, we don't know what the survival rate is going to be in this group, so we're going to go ahead and use the model and score them. I'll make a copy of the decision tree predictor. I could also grab a new one, but that just seemed easier. And…
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