Combining the Development of Logistic Regression and Artificial Neural Network Models: A Strategy to Take Advantage of Their Relative Strengths.
Wun WongPeter FosFred PetryPublished in: AMIA (1999)
Keyphrases
- logistic regression
- artificial neural network models
- decision trees
- support vector
- naive bayes
- predictive power
- loss function
- chi square
- credit scoring
- real estate
- random forests
- breast cancer
- odds ratio
- multi layer perceptron
- neural network
- logistic model
- chi square test
- generalized linear models
- logistic regression models
- fold cross validation
- linear support vector machines
- classification trees
- machine learning
- predictor variables
- kernel function
- least squares
- class membership probabilities