Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction.
Hiren Kumar ThakkarAnkit DesaiSubrata GhoshPriyanka SinghGajendra SharmaPublished in: Comput. Intell. Neurosci. (2022)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- customer churn
- multi class
- prediction model
- churn prediction
- boosting algorithms
- misclassification costs
- cost sensitive boosting
- base classifiers
- support vector machine
- binary classification
- naive bayes
- training data
- adaboost algorithm
- support vector
- class distribution
- linear classifiers
- decision trees
- fraud detection
- learning algorithm
- prediction accuracy
- active learning
- binary classifiers
- feature selection
- classification error
- class imbalance
- weak classifiers
- classification algorithm
- multi class classification
- feature space
- random forest
- pairwise
- machine learning
- face recognition
- error rate