Table 6. Comparison of breast cancer classification performance between existing methods in the literature and the proposed method.
Author name and reference | Method | Accuracy |
---|---|---|
Aalaei et al. (2016) | GA- Based ANN | 96.50% |
Salama & Abdelhalim (2012) | SMO | 97.70% |
Xue, Zhang & Browne (2014) | PSO | 92.98% |
Nekkaa & Boughaci (2015) | MA+SVM | 97.88% |
Quy et al. (2020) | APSO-NN | 98.24% |
Amrane et al. (2018) | KNN | 97.51% |
Abdar et al. (2020) | SV-NB-3-MetaClassifier | 98.07% |
The proposed | IANN | 98.80% |