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. 2019 Oct 16;2019:7294582. doi: 10.1155/2019/7294582

Table 4.

Performance comparison based on the Wbcd dataset.

ML method Accuracy (%) Sensitivity (%) Specificity (%) G-mean (%) MCC
QKCLDA 97.26
K-SVM 97.38
PSO + Boosted c5.0 96.38 97.70 94.28
Aisl 98.00 95.9 98.7
PSO-KDE 98.45 100 97.99
EC 96.5
BBHA 97.38 95.79 98.57
EM-PCA-CART-fuzzy
Rule-based 93.2
FSMLP 100 100 100 100
K-Boosted C5.0 98.2 93.75 100 96.82 95.6