Research Article
A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification
Table 4
Friedman’s rank to all the models based on avg. classification accuracy.
| | Datasets/models | ANN | NF | ANN-FR | NF-FR |
| | Iris | 91.56 (4) | 92.63 (3) | 94.02 (2) | 95.15 (1) | | Mammographic Mass | 79.21 (4) | 84.19 (3) | 84.50 (2) | 85.31 (1) | | Breast Cancer Wisconsin | 91.07 (4) | 93.98 (3) | 95.39 (1) | 95.04 (2) | | Pima Indian Diabetes | 72.96 (4) | 78.78 (3) | 81.66 (2) | 82.55 (1) | | Hayes-Roth | 66.34 (4) | 73.85 (3) | 75.20 (2) | 77.15 (1) | | Thyroid | 86.76 (4) | 92.01 (3) | 92.53 (2) | 95.60 (1) | | Titanic | 77.64 (4) | 79.25 (3) | 80.54 (2) | 81.47 (1) | | Wine | 91.24 (4) | 93.1 (3) | 93.94 (2) | 95.59 (1) | | Haberman | 75.42 (4) | 78.05 (3) | 80.29 (2) | 81.02 (1) | | Blood Transfusion Service | 75.86 (4) | 76.79 (3) | 80.14 (2) | 80.22 (1) | | Friedman’s Rank | 4 | 3 | 1.9 | 1.1 |
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