Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

Journal of Big Data

Table 14 Comparison of binary classes

Algorithm	Accuracy	Precision	Recall	areaUnderROC	F1-score
Multilayer Perceptron Classifier (MLPC) Confusion matrix 1777.0 108.0 261.0 145.0	0.83	Precision (0.0) = 0.92 Precision (1.0) = 0.64	Recall (0.0) = 0.93 Recall (1.0) = 0.61	0.64	F1-score (0.0) = 0.93 F1-score (1.0) = 0.62
Decision Tree Classifier (DTC) Confusion matrix 1757.0 134.0 151.0 234.0	0.87	Precision (0.0) = 0.92 Precision (1.0) = 0.63	Recall (0.0) = 0.92 Recall (1.0) = 0.60	0.76	F1-score (0.0) = 0.92 F1-score (1.0) = 0.62
Random Forest Classifier (RFC)Confusion matrix 1817.0 68.0 164.0 226.0	0.87	Precision (0.0) = 0.91 Precision (1.0) = 0.76	Recall (0.0) = 0.96 Recall (1.0) = 0.57	0.77	F1-score (0.0) = 0.93 F1-score (1.0) = 0.66
Gradient-Boosted-Tree (GBT) Confusion matrix 1796.0 83.0 137.0 265.0	0.87	Precision (0.0) = 0.92 Precision (1.0) = 0.76	Recall (0.0) = 0.95 Recall (1.0) = 0.65	0.80	F1-score (0.0) = 0.94 F1-score (1.0) = 0.70