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 am trying to design a simple Decision Tree using scikit-learn in Python (I am using Anaconda's Ipython Notebook with …
python scikit-learn visualization decision-treeCan I extract the underlying decision-rules (or 'decision paths') from a trained tree in a decision tree as a textual …
python machine-learning scikit-learn decision-tree random-forestThere are several posts about how to encode categorical data to Sklearn Decision trees, but from Sklearn documentation, we got …
python scikit-learn decision-treeI am doing some research about different data mining techniques and came across something that I could not figure out. …
data-mining decision-tree bayesian-networksI have started writing a PHP script for a game about creatures, there are 4 yes/no questions and what I …
php function auto-increment decision-tree expert-systemDoes anyone know how to calculate the error rate for a decision tree with R? I am using the rpart() …
r classification decision-tree rpartI saw the help in Matlab, but they have provided an example without explaining how to use the parameters in …
matlab machine-learning decision-treeSorry, I am new to WEKA and just learning. In my decision tree (J48) classifier output, there is a confusion …
classification weka decision-treeI am using RandomForestClassifier implemented in python sklearn package to build a binary classification model. The below is the results …
python machine-learning scikit-learn decision-tree random-forestI am using few data sets available online and trying to visualize tree. However, it does not let me visualize …
data-visualization classification weka decision-tree