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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 ...
but we also want a decision tree that generalizes well to new examples, i.e. we would like the decision tree to give the right answer on new examples it has never seen before so we want to avoid ...
This case study evaluates modelling relationships between the combination of decision variables and uncertain factors. There are 6 uncertain factors that influence water quality varying within a ...
The worst predictor was the decision tree, with a model score of 0.7097. The decision tree model can be used in Medicare forecasting to predict nonlinear relationships between Medicare costs and ...
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