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Data Type (A), Evaluation Metrics, Oversampling Techniques,…
Data Type (A)
Spatio-temporal Behavioral
Demographics
Service Usage Related
Profit Related
Cross-company
Evaluation Metrics
Maximum Profit Creterion
TDL
AUC
F-Measure
Accuracy
Recall
Precision
Oversampling Techniques
MTDF
SMOTE
ADASYN
MWMOTE
ICOTE
TRkNN
Transformation Step
No Regrouping
Decision Tree-based Remapping
Decision Tree-based Discretization
Equal Frequency Discretization
Weight of Evidence Conversion
Representation Step
Dummy Coding
Incidence Replacement
Weight of Evidence Conversion
Goals
Improved Retention Campaigns
Churn Prevention
Product / Service Improvements
Classification Process
Classificat
LSSVM with Radial Basis
Function Kernel
LSSVM with Linear Kernel
PART
RIPPER
Radial Basis Function Network
Logistic Regression
C5.0 Decision Tree
Polynomial Kernel SVM (SMVPOLY).
RST-based Tool
Alternating Decision Tree
k-Nearest Neighbor k=10, k=100
Boosting
Bagging
Logistic Model Tree
Bagged CART
Bayesian Network
J4.8 Decision Tree
Multi-layer Perception (Artificial) Neural Network
Naive Bayes
Random Forest
Radial Basis Kernel SVM (SMV-RBF)
Stochastic Gradient Boosting
C4.5 Decision Tree
Classification & Regression Tree
LSSVM with Radial Basis
Function Kernel
LSSVM with Linear Kernel
PART
RIPPER
Radial Basis Function Network
Logistic Regression
C5.0 Decision Tree
Polynomial Kernel SVM (SMVPOLY).
RST-based Tool
Boosting
Bagging
Bayesian Network
J4.8 Decision Tree
Multi-layer Perception (Artificial) Neural Network
Naive Bayes
Random Forest
Radial Basis Kernel SVM (SMV-RBF)
C4.5 Decision Tree
Classification & Regression Tree