PCA-RF: An Efficient Parkinson's Disease Prediction Model based on Random Forest Classification.
Ishu GuptaVartika SharmaSizman KaurAshutosh Kumar SinghPublished in: CoRR (2022)
Keyphrases
- random forest
- feature reduction
- decision trees
- ensemble classifier
- feature set
- fold cross validation
- random forests
- cancer classification
- principal component analysis
- feature extraction
- ensemble methods
- decision tree learning algorithms
- prediction accuracy
- classification accuracy
- feature space
- image classification
- feature importance
- support vector
- benchmark datasets
- svm classifier
- feature selection
- ensemble learning
- text classification
- support vector machine
- machine learning methods
- machine learning
- support vector machine svm
- multi label
- linear discriminant analysis
- training samples
- naive bayes
- data sets
- k nearest neighbor
- artificial neural networks
- bayesian networks
- image segmentation
- neural network