Reducing the Computational and Communication Complexity of a Distributed Optimization for Regularized Logistic Regression.
Nozomi MiyaHideyuki MasuiHajime JinushiToshiyasu MatsushimaPublished in: SMC (2019)
Keyphrases
- logistic regression
- decision trees
- chi square
- predictive power
- support vector
- random forests
- credit scoring
- linear support vector machines
- generalized linear models
- odds ratio
- breast cancer
- loss function
- fold cross validation
- naive bayes
- logistic regression models
- logistic model
- least squares
- chi square test
- feature space
- neural network
- data sets