Research Article
A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification
Table 1
Comparison of RMS errors of ANN, NF, ANN-FR, and NF-FR models.
| Datasets/models | ANN | NF | ANN-FR | NF-FR |
| Iris | 0.18721 | 0.10258 | 0.15471 | 0.11721 | Mammographic | 0.30163 | 0.19111 | 0.26163 | 0.18031 | Breast Cancer | 0.39734 | 0.17052 | 0.21637 | 0.02546 | Pima Indian | 0.41819 | 0.29887 | 0.38248 | 0.30353 | Hayes-Roth | 0.32242 | 0.14770 | 0.35525 | 0.16222 | Thyroid | 0.15335 | 0.05315 | 0.14085 | 0.08838 | Titanic | 0.19373 | 0.28599 | 0.07685 | 0.34237 | Wine | 0.05249 | 0.03854 | 0.08942 | 0.10774 | Haberman | 0.25329 | 0.33007 | 0.35470 | 0.35749 | Blood Transfusion Service | 0.31176 | 0.31284 | 0.13597 | 0.29339 |
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