A Hybrid Approach for Depression Classification: Random Forest-ANN Ensemble on Motor Activity Signals.
Anket PatilDhairya ShahAbhishek ShahMokshit GalaPublished in: CoRR (2023)
Keyphrases
- random forest
- decision trees
- random subspace
- fold cross validation
- random forests
- feature set
- cancer classification
- ensemble classifier
- ensemble methods
- decision tree learning algorithms
- ensemble learning
- imbalanced data
- feature importance
- classification accuracy
- multi label
- artificial neural networks
- feature ranking
- training set
- feature selection
- feature extraction
- classification models
- text classification
- support vector machine
- machine learning methods
- base classifiers
- class labels
- generalization ability
- rotation forest
- classification algorithm
- data sets
- support vector machine svm
- image classification
- support vector
- machine learning
- prediction accuracy
- machine learning algorithms
- classifier ensemble
- multi class
- feature vectors
- feature space
- training data
- neural network