Detection of forest fire using support vector machine in comparison with random forest to measure accuracy, precision and recall.
Inturi SusmithaRoseline J. FemilaVinay SivasamyPublished in: ICCR (2022)
Keyphrases
- precision and recall
- random forest
- fold cross validation
- evaluation measures
- support vector machine
- random forests
- decision trees
- precision recall
- information extraction
- svm classifier
- feature set
- ensemble methods
- decision tree learning algorithms
- evaluation metrics
- multi label
- base classifiers
- ensemble classifier
- multi class
- highest precision
- similarity measure
- feature selection
- kernel function
- training set
- information gain
- feature space
- generalization ability
- support vector
- normalized discounted cumulative gain
- machine learning