A Comparison of Decision Tree Induction with Binary Logistic Regression for the Prediction of the Risk of Cardiovascular Diseases in Adult Men.
Ingrida GrabauskyteAbdonas TamosiunasMindaugas KavaliauskasRicardas RadisauskasGailute BernotieneVytautas JanilionisPublished in: Informatica (2018)
Keyphrases
- logistic regression
- decision tree induction
- decision trees
- odds ratio
- cardiovascular disease
- risk factors
- naive bayes
- prediction accuracy
- data mining methods
- random forest
- random forests
- machine learning algorithms
- training set
- risk assessment
- risk management
- cross validation
- support vector
- predictive model
- data mining
- training data
- prediction model
- loss function
- decision making
- knowledge discovery
- neural network
- base classifiers
- machine learning methods
- machine learning
- k nearest neighbor