A Comparative Analysis of Machine Learning classifiers for Dysphonia-based classification of Parkinson's Disease.
Jinee GoyalPadmavati KhandnorTrilok Chand AseriPublished in: Int. J. Data Sci. Anal. (2021)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- decision trees
- supervised classification
- feature selection
- machine learning approaches
- classification systems
- support vector
- svm classifier
- classification models
- accurate classification
- classification algorithm
- supervised machine learning
- classification method
- support vector machine
- class labels
- pattern recognition
- classification rate
- roc analysis
- supervised learning
- text classification
- classification process
- multiple classifier systems
- majority voting
- classification accuracy
- training set
- probabilistic classifiers
- combining classifiers
- correctly classified
- classification procedure
- classifier combination
- multiclass classification
- k nearest neighbour
- improves the classification accuracy
- discriminant functions
- optimum path forest
- nearest neighbor classifier
- decision boundary
- learning algorithm
- feature extraction
- feature set
- image classification
- support vector machine svm
- training samples
- accurate classifiers
- associative classifiers
- extracted features
- training data
- multi category
- classification decisions
- linear classifiers
- model selection
- higher classification accuracy
- multiple classifiers
- imbalanced data sets
- active learning
- ensemble classifier