Regional Agricultural Land Classification Based on Random Forest (RF), Decision Tree, and SVMs Techniques.
Nassr AzeezWafa YahyaInas Al-TaieArwa M. BasbrainAdrian ClarkPublished in: ICICT (1) (2019)
Keyphrases
- random forest
- decision trees
- fold cross validation
- random forests
- feature set
- support vector
- training set
- feature ranking
- ensemble methods
- feature selection
- feature importance
- machine learning
- training data
- selected features
- support vector machine svm
- decision tree learning algorithms
- ensemble classifier
- support vector machine
- imbalanced data
- classification models
- machine learning algorithms
- feature vectors
- cancer classification
- logistic regression
- naive bayes
- classification accuracy
- imbalanced datasets
- classification algorithm
- multi class
- decision tree learning algorithm
- bayesian networks
- feature space
- majority voting
- base classifiers
- generalization ability
- training samples
- ensemble learning
- image classification
- svm classifier
- benchmark datasets
- relevance feedback
- semi supervised
- supervised learning
- image features
- active learning
- high dimensional
- k nearest neighbor
- class labels
- data sets
- neural network