Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset.
Hezlin Aryani Abd RahmanBee Wah YapHaibo HeAwang M. BulgibaPublished in: SCDS (2015)
Keyphrases
- logistic regression
- knn
- support vector
- support vector machine svm
- k nearest neighbor
- decision trees
- support vector machine
- k nearest neighbour
- classification algorithm
- imbalanced datasets
- feature selection
- text classification
- naive bayes
- nearest neighbor
- text categorization
- classification accuracy
- svm classifier
- generalization ability
- loss function
- nearest neighbour
- radial basis function
- classification trees
- multi class
- ensemble methods
- multi class classification
- binary classification
- random forests
- neural network
- support vectors
- ensemble learning
- training data
- cross validation
- kernel function
- imbalanced data
- machine learning
- information gain
- classification models
- feature vectors
- dimensionality reduction
- feature extraction