Extracting Rule RF in Educational Data Classification: From a Random Forest to Interpretable Refined Rules.
Lu Thi Kim PhungThi Ngoc Chau VoHua Phung NguyenPublished in: ACOMP (2015)
Keyphrases
- random forest
- classification rules
- data sets
- decision trees
- rule sets
- data analysis
- training data
- data points
- support vector
- machine learning
- association rules
- machine learning methods
- feature importance
- machine learning algorithms
- unsupervised learning
- supervised learning
- classification accuracy
- prior knowledge
- feature vectors
- training set
- face recognition
- image processing
- feature selection