Two-question tree explorer
IS 507 Lecture 10 · diabetes data, BMI and blood pressure (bp)Drag a line in the plane, move a slider, or click a curve.
| Tree | Question 1 | Question 2, yes | Question 2, no | Training RMSE | Test RMSE |
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Each patient lands in one of four rectangles, and the rectangle predicts the average progression of its training patients. RMSE is the root mean squared miss. Right, top: the RMSE for every cut of question 1; the thin gray curve is question 1 alone (two rectangles), the curve a greedy tree minimizes, and the navy curve is the whole tree when question 2 is re-chosen as well as possible for that cut. Right, middle and bottom: the RMSE of the whole tree for every cut of question 2 on each side, with the other two cuts held fixed. With test patients shown, the dashed curves give the test RMSE.
Data: Efron, Hastie, Johnstone, and Tibshirani (2004), "Least Angle Regression," Annals of Statistics 32(2); the unscaled copy in scikit-learn, load_diabetes(scaled=False). The Lecture 9 split, train_test_split(test_size=0.25, random_state=507): 331 training and 111 test patients.