Diabetes Prediction: Optimization of Machine Learning through Feature Selection and Dimensionality Reduction.
Abd Allah AouraghMohamed BahajFouad ToufikPublished in: Int. J. Online Biomed. Eng. (2024)
Keyphrases
- dimensionality reduction
- feature selection
- machine learning
- high dimensionality
- feature extraction
- pattern recognition
- text classification
- unsupervised learning
- prediction accuracy
- low dimensional
- high dimensional data
- high dimensional
- support vector machine
- linear discriminant analysis
- manifold learning
- optimization algorithm
- parameter optimization
- principal component analysis
- optimization problems
- principal components
- data representation
- mutual information
- dimension reduction
- text categorization
- dimensionality reduction methods
- feature space
- pattern recognition and machine learning
- prediction model
- structure preserving
- neural network
- classification accuracy
- kernel methods
- data mining
- multi task
- feature set
- model selection
- health care
- machine learning methods
- semi supervised learning
- feature subset
- data points
- active learning
- learning tasks
- kernel learning
- evolutionary algorithm
- data analysis
- predictive modeling
- unsupervised feature selection
- class separability
- learning algorithm