Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network.
Mohammad Hafiz IsmailTajul Rosli Bin RazakNoorfaizalfarid Mohd NoorAzlan Abdul AzizPublished in: IMCOM (2024)
Keyphrases
- machine learning algorithms
- random forest
- gradient boosting
- decision trees
- neural network
- random forests
- base learners
- ensemble methods
- machine learning methods
- learning algorithm
- machine learning
- loss function
- learning problems
- ensemble learning
- artificial neural networks
- fold cross validation
- multi label
- learning tasks
- feature set
- meta learning
- base classifiers
- training data
- logistic regression
- naive bayes
- generalization ability
- training set
- microarray
- selected features
- information extraction
- feature selection
- feature ranking
- genetic algorithm