Rank biserial stochastic feature embed bivariate kernelized regressive bootstrap aggregative classifier for school student dropout prediction.
Rajagopal ChinnasamyBalasubramanian ThangavelPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- feature set
- learning vector quantization
- input features
- prediction accuracy
- feature selection
- improve the recognition accuracy
- selection scheme
- weak classifiers
- student learning
- learning environment
- support vector machine
- learning process
- decision trees
- training data
- kernel function
- feature vectors
- svm classifier
- intelligent tutoring systems
- prediction model
- image features
- feature values
- ensemble classifier
- science education
- training samples
- support vector
- feature space
- selection criterion
- high school students
- cross validation
- feature ranking
- learning opportunities
- learning styles
- social studies
- school education
- middle school mathematics
- neural network