The demo program creates a decision tree regression model where the tree has seven nodes. After the tree is created, the demo program computes the model accuracy on the training data as 0.9000 (9 out ...

Reports from University of Minnesota Describe Recent Advances in Health Insurance (Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for ...

The decision tree model generated a total of six decision rules. The highest prediction probability of 100% was achieved by the decision rule group number 6, with rules of CRP level of >3.91 mg/dL, ...