Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks.
Peter AppiaheneYaw Marfo MissahNajim UssiphPublished in: Adv. Fuzzy Syst. (2020)
Keyphrases
- random forest
- comparative study
- decision trees
- neural network
- learning algorithm
- random forests
- machine learning algorithms
- training data
- back propagation
- machine learning
- ensemble methods
- fold cross validation
- feature set
- naive bayes
- artificial neural networks
- logistic regression
- decision tree learning algorithms
- rotation forest
- reinforcement learning
- multi label
- feature importance
- decision tree learning algorithm
- feature extraction
- data sets
- base classifiers
- ensemble learning
- k nearest neighbor
- supervised learning