White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.
Michael AffenzellerBogdan BurlacuViktoria DorferSebastian DorlGerhard HalmerbauerTilman KönigswieserMichael KommendaJulia VetterStephan M. WinklerPublished in: EUROCAST (1) (2019)
Keyphrases
- regression problems
- black box
- random forests
- white box
- symbolic regression
- genetic programming
- random forest
- decision trees
- machine learning algorithms
- logistic regression
- ensemble methods
- source code
- cross validation
- test cases
- genetic algorithm
- data mining
- linear regression
- high dimensional data
- fitness function
- unsupervised learning
- learning machines
- least squares
- pattern recognition