Research Article
Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network
Table 7
Reduct size for (a) hepatitis, (b) breast cancer, and (c) heart disease dataset.
(a) Reduct for hepatitis dataset |
| Number of attributes | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | Number of subsets | 48620 | 43758 | 31824 | 18564 | 8568 | 3060 | 816 | 153 | 18 | Number of reducts | 2 | 19 | 71 | 137 | 142 | 104 | 43 | 43 | 1 |
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(b) Reduct for breast cancer dataset |
| Number of attributes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Number of subsets | 9 | 36 | 84 | 126 | 126 | 84 | 36 | 9 | Selected reducts | — | — | — | — | — | — | 5 | 6 |
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(c) Reduct for heart disease dataset |
| Number of attributes | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | Number of subsets | 286 | 715 | 1287 | 1716 | 1716 | 1287 | 715 | 286 | 78 | 13 | Number of reducts | 9 | 90 | 365 | 811 | 1127 | 1043 | 657 | 280 | 78 | 13 |
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