Artificial Intelligence Based Customer Churn Prediction Model for Business Markets

Table 5

Contrast with Current with Future AICCP-TBM Process for Practical Dataset with admiration to Correctness and F-Score

Methods	Dataset-1		Dataset-2		Dataset-3
	F-Measure	Accuracy	F-Measure	Accuracy	F-Measure	Accuracy
AICCP-TBM	97.63	97.24	97.72	97.71	93.28	94.34
SSO-OFRBC	96.87	96.97	96.57	96.55	91.77	92.12
SSO-OFRBC	95.45	95.16	95.62	95.10	90.98	91.77
ISMOTE-OWELM	93.52	94.04	91.81	92.01	90.81	90.91
SMOTE-OWELM	93.03	92.21	91.73	91.82	89.91	89.92
OWELM	90.42	90.61	89.42	89.74	87.91	88.72
WELM	88.23	88.52	87.24	87.62	85.22	86.94
PCPM	83.84	83.74	83.15	82.85	80.81	81.83
SVM	76.35	78.93	73.11	72.54	68.22	67.96
LDT/UDT	56.38	85.42	66.23	78.01	59.21	58.04