Research Article

A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification

Table 2

Comparison of classification accuracy of ANN, NF, ANN-FR, and NF-FR.

Datasets/modelsANNNFANN-FR (studied)NF-FR (proposed)
WCACBCWCACBCWCACBCWCACBC

Iris85.7191.5694.4490.0092.6397.0690.6394.0298.0291.4395.1599.26
Mammographic Mass73.9179.2184.6279.9984.1987.3582.5384.5086.3683.0585.3187.72
Breast Cancer Wisconsin85.4291.0795.0091.1893.9896.4893.6695.3997.7493.8695.4497.04
Pima Indian diabetes65.5272.9678.4171.7678.7886.8476.0081.6686.4976.7482.5585.94
Hayes-Roth56.2566.3476.0060.0073.8583.3369.2375.2083.8770.5977.1586.95
Thyroid83.7286.7692.8586.0492.0196.0788.4692.5397.2992.9895.6099.55
Titanic75.1377.6481.8776.0079.2583.7477.0080.5485.0077.1081.4785.94
Wine85.2991.2494.1288.8893.197.2290.9093.9498.0790.6295.5999.88
Haberman70.2175.4278.7975.0078.0582.8176.6080.2983.9377.9781.0286.89
Blood Transfusion Service Center73.3775.8680.0073.6176.7980.4176.0080.1484.5076.5880.2284.91

WC: worst case; AC: average case; BC: best case.