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. 2021 Jan 25;7:e344. doi: 10.7717/peerj-cs.344

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%