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Profit-based churn prediction based on Minimax Probability Machines
Sebastián Maldonado
, Julio López
,
Carla Vairetti
*
*
Corresponding author for this work
Doctorado en Ciencias de la Ingeniería
Línea de investigación en Ingeniería de la Información y Energía
Ingeniería Civil Industrial
Claustro Doctorado en Ciencias de la Ingeniería
Facultad de Ingeniería y Ciencias Aplicadas
Universidad de los Andes
Research output
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Contribution to journal
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Article
›
peer-review
60
Scopus citations
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Keyphrases
Binary Classification
66%
Churn Prediction
100%
Classification Methods
33%
Classification Threshold
33%
Learning Machine
33%
Least Absolute Shrinkage and Selection Operator (LASSO)
33%
Minimax Probability Machine
100%
Optimal Classification
33%
Prediction Method
100%
Probabilistic Output
33%
Probabilistic Setting
33%
Profit Metrics
33%
Profit-driven
33%
Regularization Term
33%
Regularizer
33%
Robust Optimization
33%
Tikhonov
33%
Engineering
Learning System
100%
Metrics
100%
Objective Function
100%
Optimization Approach
100%
Regularization
100%
Mathematics
Binary Classification
100%
Minimax
100%
Objective Function
50%
Probability Theory
100%
Regularization
50%
Computer Science
Binary Classification
100%
Classification Technique
50%
Machine Learning
50%
Objective Function
50%
Regularization Term
50%
Robust Optimization
50%