Boosting Accuracy of Machine Learning Classifiers for Heart Disease Forecasting.
Divya Lalita Sri JalligampalaR. V. S. LalithaM. Anil KumarNalla AkhilaSujana ChallapalliP. N. S. LakshmiPublished in: FICTA (1) (2021)
Keyphrases
- machine learning
- improving classification accuracy
- heart disease
- multiple classifier systems
- feature selection
- machine learning algorithms
- machine learning methods
- decision stumps
- roc analysis
- decision trees
- ensemble learning
- individual classifiers
- data mining
- weak classifiers
- support vector machine
- learning algorithm
- discriminative classifiers
- training data
- induction algorithms
- data sets
- roc curve
- medical diagnosis
- classification accuracy
- training set
- cost sensitive
- prediction accuracy
- ensemble classifier
- naive bayes
- weak learners
- natural language
- information systems
- artificial intelligence
- ensemble methods
- boosted classifiers