cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees.
Javier Rodríguez-CuadradoJuan C. LariaDavid Delgado-GómezPublished in: R J. (2021)
Keyphrases
- decision trees
- machine learning
- constructive induction
- decision tree induction
- high accuracy
- random forest
- computationally efficient
- feature construction
- rule induction
- control system
- training data
- neural network
- real time
- logistic regression
- data mining methods
- predictive accuracy
- data driven
- highly accurate
- high quality