Model Selection in Logistic Regression Using p-Values and Greedy Search.
Jan MielniczukPawel TeisseyrePublished in: SIIS (2011)
Keyphrases
- logistic regression
- model selection
- greedy search
- decision trees
- cross validation
- hyperparameters
- support vector
- naive bayes
- regression model
- machine learning
- sample size
- feature selection
- loss function
- search space
- mixture model
- gaussian process
- multivariate regression
- marginal likelihood
- generalization error
- metaheuristic
- heuristic search
- unsupervised learning
- information criterion
- simulated annealing
- genetic programming
- variable selection
- information retrieval
- dynamic programming
- neural network
- training set
- search algorithm