Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study of Default ML VS Boosting Algorithm.
Yagya Nath RimalNavneet SharmaPublished in: ICIMMI (2023)
Keyphrases
- prediction accuracy
- learning algorithm
- probabilistic model
- ensemble methods
- machine learning
- objective function
- mathematical model
- recognition algorithm
- cost function
- multiple models
- theoretical analysis
- expectation maximization
- classification algorithm
- estimation accuracy
- em algorithm
- input data
- k means
- decision tree induction algorithm
- neural network
- optimal solution
- ensemble learning
- decision trees
- boosting framework
- segmentation algorithm
- machine learning algorithms
- training set
- predictive power