Top "Decision-tree" questions

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.

Data Driven Rules Engine - Drools

I have been evaluating Drools as a Rules Engine for use in our Business Web Application. My use case is …

java drools rules decision-tree
Decision trees and rule engines (Drools)

In the application that I'm working on right now, I need to periodically check eligibility of tens of thousands of …

java drools decision-tree expert-system drools-flow
Get feature and class names into decision tree using export graphviz

Good Afternoon, I am working on a decision tree classifier and am having trouble visualizing it. I can output the …

python scikit-learn decision-tree
How to balance classification using DecisionTreeClassifier?

I have a data set where the classes are unbalanced. The classes are either 0, 1 or 2. How can I calculate the …

python machine-learning scikit-learn decision-tree
How do you access tree depth in Python's scikit-learn?

I'm using scikit-learn to create a Random Forest. However, I want to find the individual depths of each tree. It …

python scikit-learn random-forest decision-tree depth
How do I visualise / plot a decision tree in Apache Spark (PySpark 1.4.1)?

I am using Apache Spark Mllib 1.4.1 (PySpark, the python implementation of Spark) to generate a decision tree based on LabeledPoint …

apache-spark plot decision-tree dtreeviz
Why does the C4.5 algorithm use pruning in order to reduce the decision tree and how does pruning affect the predicion accuracy?

I have searched on google about this issue and I can't find something that explains this algorithm in a simple …

weka decision-tree pruning
Decision tree using continuous variable

I have a question about Decision tree using continuous variable I heard that when output variable is continuous and input …

r machine-learning cart decision-tree rpart
Selecting CP value for decision tree pruning using rpart

I understand that the common practice to select CP value is by choosing the lowest level with the minimum xerror …

r decision-tree rpart
Tree sizes given by CP table in rpart

In the R package rpart, what determines the size of trees presented within the CP table for a decision tree? …

r tree decision-tree cross-validation rpart