A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
I'm building a binary classification tree using mutual information gain as the splitting function. But since the training data is …
machine-learning entropy decision-treeI m trying to use the decision tree classified to identify two classes (renamed 0 and 1) based on certain parameters. I …
python decision-tree roc sklearn-pandasI have built a decision tree using the ctree function via party package. it has 1700 nodes. Firstly, is there a …
r decision-tree partyI have an output from ctree() (party package) that looks like the following. How do I get the list of …
r decision-tree partyI have to create decision trees with the R software and the rpart Package. In my paper I should first …
r decision-tree rpart cart-analysisThere are three ways to measure impurity: What are the differences and appropriate use cases for each method?
machine-learning data-mining random-forest decision-treeI have built a decision tree model in R using rpart and ctree. I also have predicted a new dataset …
r decision-tree rpart