Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data.
Ji Hyun NamJongmin MunSeongil JoJaeoh KimPublished in: J. Classif. (2024)
Keyphrases
- imbalanced data
- support vector machine
- training set
- ensemble classifier
- svm classifier
- training process
- prediction accuracy
- feature selection
- class distribution
- support vector
- multi class
- support vector machine svm
- feature vectors
- decision boundary
- training data
- ensemble methods
- training examples
- hyperplane
- sampling methods
- test set
- linear regression
- training samples
- kernel function
- data sets
- supervised learning
- knn
- classification models
- random forest
- support vectors
- feature space
- machine learning
- feature extraction
- generalization ability
- radial basis function
- classification algorithm
- benchmark datasets
- k nearest neighbor