Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier.
Pooja YadavS. C. SharmaRajesh MahadevaShashikant P. PatolePublished in: IEEE Access (2023)
Keyphrases
- hyperparameters
- feature selection
- support vector
- model selection
- cross validation
- chronic disease
- feature set
- feature space
- support vector machine
- closed form
- health care
- bayesian framework
- feature subset
- text classification
- sample size
- maximum a posteriori
- bayesian inference
- noise level
- em algorithm
- maximum likelihood
- machine learning
- svm classifier
- prior information
- random sampling
- parameter estimation
- classification accuracy
- bayesian methods
- high risk
- incremental learning
- incomplete data
- ls svm
- svm classification
- kernel function
- training samples
- dimensionality reduction
- prior knowledge
- feature extraction
- naive bayes
- multi class
- knn
- image segmentation
- learning algorithm