Hyper-Parameter Tuning of Classification and Regression Trees for Software Effort Estimation.
Leonardo Villalobos-AriasChristian Quesada-LópezAlexandra Martínez PorrasMarcelo JenkinsPublished in: WorldCIST (3) (2021)
Keyphrases
- parameter tuning
- classification and regression trees
- random forests
- logistic regression
- credit scoring
- discriminant analysis
- ink bleed
- neural network
- factor analysis
- decision trees
- classification trees
- parameter settings
- regression problems
- linear discriminant analysis
- random forest
- least squares
- data analysis
- image segmentation
- naive bayes
- support vector machine svm
- pattern recognition
- feature selection
- data mining