Cloud-Based Breast Cancer Prediction Empowered with Soft Computing Approaches

Table 8

Performance evaluation of proposed BCP-SVM system model in validation and training using different statistical measures.

	Sensitivity	Specificity	Accuracy	Miss rate (%)	False positive value	False negative value	Likelihood ratio positive	Likelihood ratio negative	Positive prediction value	Negative prediction value
Training	(0.9863) 98.63%	(0.9802) 98.02%	(0.9825) 98.25%	1.75	(0.0198) 1.98%	(0.0137) 1.37%	49.81	0.0139	(0.9664) 96.64%	(0.992) 99.2%
Validation	(0.9833) 98.33%	(0.9636) 96.36%	(0.9706) 97.06%	2.94	(0.0364) 3.64%	(0.0167) 1.67%	27.01	0.0173	(0.9365) 93.65%	(0.9906) 99.06%