Comparison of the decision tree, artificial neural network, and linear regression methods based on the number and types of independent variables and sample size.
Yong-Soo KimPublished in: Expert Syst. Appl. (2008)
Keyphrases
- sample size
- artificial neural networks
- independent variables
- regression model
- statistical tests
- regression methods
- decision trees
- random sample
- logistic regression
- regression analysis
- model selection
- random sampling
- neural network
- machine learning algorithms
- statistical analysis
- supervised learning
- upper bound
- genetic algorithm
- machine learning