Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers.
Md. Kamrul HasanMd. Ashraful AlamDola DasEklas HossainMahmudul HasanPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- machine learning approaches
- supervised classification
- feature selection
- prediction accuracy
- classifier ensemble
- training data
- multiple classifier systems
- ensemble classifier
- knowledge acquisition
- naive bayes
- pattern recognition
- predictive accuracy
- linear classifiers
- classification algorithm
- data mining
- model selection
- classifier combination
- information extraction
- active learning
- learning classifier systems
- predictive modeling
- individual classifiers
- data sets
- neural networks and support vector machines
- prediction error
- learning tasks
- health care
- semi supervised learning
- feature set
- natural language processing
- training set
- support vector
- prediction model
- classification models
- base classifiers
- inductive learning
- svm classifier
- multi layer perceptron
- text classification
- supervised learning
- support vector machine