TABLE 5. Comparison of the Sensitivity (SE), Specificity (SP) and Accuracy (AC) of the proposed algorithm with and without the application of SMOTE, for the 5 classifiers with the best performance, using leave-one-patient-out cross-validation.
| Classifier | normal vs. masses | benign vs. suspicious | ||||||
|---|---|---|---|---|---|---|---|---|
| without SMOTE | with SMOTE | without SMOTE | with SMOTE | |||||
| k-NN | SE: SP: AC: |
59.46 99.89 99.42 |
SE: SP: AC: |
92.57 98.38 98.31 |
SE: SP: AC: |
90.63 88.46 89.86 |
SE: SP: AC: |
84.38 96.15 88.51 |
| ADA | SE: SP: AC: |
39.86 99.72 99.02 |
SE: SP: AC: |
77.03 89.33 89.19 |
SE: SP: AC: |
88.54 76.92 84.46 |
SE: SP: AC: |
87.50 90.38 85.81 |
| GB | SE: SP: AC: |
75.00 99.95 99.66 |
SE: SP: AC: |
89.86 98.69 98.59 |
SE: SP: AC: |
93.75 75.00 87.16 |
SE: SP: AC: |
90.63 86.54 89.19 |
| Voting | SE: SP: AC: |
65.54 99.99 99.59 |
SE: SP: AC: |
90.54 99.51 99.40 |
SE: SP: AC: |
92.71 78.85 87.84 |
SE: SP: AC: |
89.58 94.23 91.22 |
| NN | SE: SP: AC: |
89.40 99.98 99.85 |
SE: SP: AC: |
96.62 99.93 99.89 |
SE: SP: AC: |
96.88 94.23 95.95 |
SE: SP: AC: |
98.96 96.15 97.97 |