Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector.
Edvaldo DomingosBlessing OjemeOlawande J. DaramolaPublished in: Comput. (2021)
Keyphrases
- deep learning
- hyperparameters
- customer churn
- churn prediction
- model selection
- cross validation
- closed form
- bayesian inference
- bayesian framework
- unsupervised learning
- random sampling
- prior information
- support vector
- machine learning
- em algorithm
- maximum likelihood
- data mining
- random forest
- sample size
- noise level
- maximum a posteriori
- rule induction
- credit risk
- prior knowledge
- prediction model
- mental models
- image processing
- active learning
- knowledge discovery
- similarity measure
- learning algorithm