Comparative Analysis of Support Vector Machine, Random Forest and k-Nearest Neighbor Classifiers for Predicting Remaining Usage Life of Roller Bearings.
Rajkumar PalaniappanPublished in: Informatica (Slovenia) (2024)
Keyphrases
- k nearest neighbor
- comparative analysis
- random forest
- support vector machine
- fold cross validation
- knn
- svm classifier
- feature set
- decision trees
- rotation forest
- knn classifier
- ensemble classifier
- classification method
- classification algorithm
- feature selection
- support vector
- k nearest neighbour
- support vector machine svm
- training data
- ensemble learning
- decision boundary
- random forests
- text categorization
- feature reduction
- training set
- nearest neighbor
- fusion scheme
- ensemble methods
- naive bayes
- multi class
- multi label
- majority voting
- feature space
- binary classification tasks
- feature vectors
- subspace methods
- nearest neighbour
- kernel function
- machine learning
- base classifiers
- text classification
- test set
- binary classification
- class labels
- nearest neighbor classification
- machine learning algorithms
- feature extraction
- learning algorithm
- neural network
- classification models
- data sets
- prediction accuracy
- information retrieval