Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling.
Peisen YuanShougang RenHuanliang XuJin ChenPublished in: BIBM (2018)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- random forests
- cancer classification
- imbalanced data
- classification accuracy
- decision tree learning algorithms
- ensemble classifier
- machine learning
- feature importance
- ensemble methods
- feature extraction
- computer vision
- machine learning methods
- classification models
- ensemble learning
- training set
- feature selection
- base classifiers
- classification algorithm
- svm classifier
- class labels
- sampling methods
- data streams
- support vector
- image processing