A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification

Table 3

Comparison of different performance parameters (precision, recall, and f-measure) of ANN, NF, ANN-FR, and NF-FR models.

Precision, recall, and f-measure of models
Datasets/Models	ANN			NF			ANN-FR			NF-FR
	P	R	FM	P	R	FM	P	R	FM	P	R	FM
Iris	0.918	0.910	0.911	0.926	0.928	0.923	0.947	0.942	0.940	0.950	0.953	0.948
Mammographic	0.733	0.523	0.610	0.846	0.545	0.663	0.808	0.491	0.610	0.852	0.532	0.653
Breast Cancer	0.972	0.359	0.501	0.914	0.343	0.499	0.942	0.327	0.485	0.925	0.324	0.480
Pima Indian	0.393	0.181	0.246	0.903	0.750	0.819	0.633	0.263	0.368	0.936	0.723	0.815
Hayes-Roth	0.683	0.706	0.673	0.781	0.754	0.751	0.750	0.751	0.734	0.801	0.758	0.756
Thyroid	0.953	0.751	0.803	0.915	0.868	0.875	0.933	0.831	0.863	0.932	0.944	0.933
Titanic	0.762	0.389	0.512	0.781	0.681	0.728	0.840	0.324	0.465	0.816	0.686	0.740
Wine	0.9155	0.9289	0.9186	0.9361	0.9419	0.9359	0.8512	0.9437	0.9363	0.9629	0.9544	0.9569
Haberman	0.6233	0.0807	0.1417	0.635	0.0699	0.1245	0.7014	0.074	0.132	0.5233	0.0308	0.0576
Blood Transfusion	0.5015	0.0839	0.0574	0.7283	0.9923	0.8703	0.129	0.1015	0.1011	0.8105	0.9741	0.8843

P: precision; R: recall; FM: f-measure.