Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest.
Jiaying ChenXiaocong LiuHang WeiQinqun ChenJiaming HongQiongna LiZhifeng HaoPublished in: ICSH (2019)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- imbalanced data
- random forests
- learning from imbalanced data
- decision tree learning algorithms
- cancer classification
- feature importance
- ensemble classifier
- ensemble methods
- classification accuracy
- image classification
- class labels
- machine learning
- multi label
- imbalanced datasets
- feature extraction
- training data
- support vector
- support vector machine
- training set
- image processing
- text classification
- machine learning methods
- classification models
- support vector machine svm
- feature selection
- feature space
- feature vectors
- base classifiers
- logistic regression
- generalization ability
- ensemble learning
- supervised learning
- classification algorithm
- machine learning algorithms
- training samples
- genetic algorithm
- data sets