Parkinson disease prediction using feature selection technique in machine learning.
Tamim WasifMd. Inzamam-Ul-HossainAsif MahmudPublished in: ICCCNT (2021)
Keyphrases
- machine learning
- feature selection
- prediction accuracy
- text classification
- text categorization
- outbreak detection
- mutual information
- unsupervised learning
- support vector machine
- multi class
- machine learning algorithms
- inductive learning
- feature space
- high dimensionality
- decision trees
- learning algorithm
- prediction error
- feature subset
- feature selection algorithms
- predictive modeling
- feature engineering
- neural network
- dimensionality reduction
- data sets
- data mining
- computer vision
- feature extraction
- prediction model
- support vector
- pattern recognition
- classification accuracy
- learning tasks
- machine learning methods
- supervised learning
- feature set
- knn
- information gain
- learning models
- natural language processing
- semi supervised learning
- selected features
- feature construction
- artificial intelligence
- models built
- protein secondary structure prediction
- text mining
- automatic relevance determination