## 2 Method Description
### The Second Phase of the Proposed Method
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Dataset** & **BFGS** & **ADAM** & **NEAT** &
\begin{tabular}{c} **RBF-** \\ **KMEANS** \\ \end{tabular} & **GENRBF** & **Proposed** \\ \hline Alcohol & 41.50\% & 57.78\% & 66.80\% & 49.38\% & 52.45\% & 31.28\% \\ \hline Appendicitis & 18.00\% & 16.50\% & 17.20\% & 12.23\% & 16.83\% & 15.27\% \\ \hline Australian & 38.13\% & 35.65\% & 31.98\% & 34.89\% & 41.79\% & 21.00\% \\ \hline Balance & 8.64\% & 7.87\% & 23.14\% & 33.42\% & 38.02\% & 12.95\% \\ \hline Cleveland & 77.55\% & 67.55\% & 53.44\% & 67.10\% & 67.47\% & 50.82\% \\ \hline Circular & 6.08\% & 19.95\% & 35.18\% & 5.98\% & 21.43\% & 4.19\% \\ \hline Dermatology & 52.92\% & 26.14\% & 32.43\% & 62.34\% & 61.46\% & 36.13\% \\ \hline Hayes-Roth & 37.33\% & 59.70\% & 50.15\% & 64.36\% & 63.46\% & 33.54\% \\ \hline Heart & 39.44\% & 38.53\% & 39.27\% & 31.20\% & 28.44\% & 15.33\% \\ \hline HeartAttack & 46.67\% & 45.55\% & 32.34\% & 29.00\% & 40.48\% & 18.52\% \\ \hline HouseVotes & 7.13\% & 7.48\% & 10.89\% & 6.13\% & 11.99\% & 3.74\% \\ \hline Ionosphere & 15.29\% & 16.64\% & 19.67\% & 16.22\% & 19.83\% & 7.39\% \\ \hline Liverdisorder & 42.59\% & 41.53\% & 30.67\% & 30.84\% & 36.97\% & 27.92\% \\ \hline Lymphography & 35.43\% & 29.26\% & 33.70\% & 25.50\% & 29.33\% & 20.64\% \\ \hline Mammographic & 17.24\% & 46.25\% & 22.85\% & 21.38\% & 30.41\% & 17.21\% \\ \hline Parkinsons & 27.58\% & 24.06\% & 18.56\% & 17.41\% & 33.81\% & 15.35\% \\ \hline Phoneme & 15.58\% & 29.43\% & 22.34\% & 23.32\% & 26.29\% & 16.62\% \\ \hline Pima & 35.59\% & 34.85\% & 34.51\% & 25.78\% & 27.83\% & 23.59\% \\ \hline Popfailures & 5.24\% & 5.18\% & 7.05\% & 7.04\% & 7.08\% & 4.80\% \\ \hline Regions2 & 36.28\% & 29.85\% & 33.23\% & 38.29\% & 39.98\% & 25.54\% \\ \hline Saheart & 37.48\% & 34.04\% & 34.51\% & 32.19\% & 33.90\% & 29.64\% \\ \hline Segment & 68.97\% & 49.75\% & 66.72\% & 59.68\% & 54.25\% & 40.83\% \\ \hline Sonar & 25.85\% & 30.33\% & 34.10\% & 27.90\% & 37.13\% & 18.25\% \\ \hline Spiral & 47.99\% & 48.90\% & 50.22\% & 44.87\% & 50.02\% & 22.52\% \\ \hline StatHeart & 39.65\% & 44.04\% & 44.36\% & 31.36\% & 42.94\% & 19.52\% \\ \hline Student & 7.14\% & 5.13\% & 10.20\% & 5.49\% & 33.26\% & 5.11\% \\ \hline Transfusion & 25.84\% & 25.68\% & 24.87\% & 26.41\% & 25.67\% & 24.59\% \\ \hline Wdbc & 29.91\% & 35.35\% & 12.88\% & 7.27\% & 8.82\% & 5.00\% \\ \hline Wine & 59.71\% & 29.40\% & 25.43\% & 31.41\% & 31.47\% & 7.71\% \\ \hline Z\_F\_S & 39.37\% & 47.81\% & 38.41\% & 13.16\% & 23.37\% & 3.16\% \\ \hline Z\_O\_N\_F\_S & 65.67\% & 78.79\% & 77.08\% & 48.70\% & 68.40\% & 46.77\% \\ \hline ZO\_NF\_S & 43.04\% & 47.43\% & 43.75\% & 9.02\% & 22.18\% & 3.63\% \\ \hline ZONF\_S & 15.62\% & 11.99\% & 5.44\% & 4.03\% & 17.41\% & 1.79\% \\ \hline ZOO & 10.70\% & 14.13\% & 20.27\% & 21.93\% & 33.50\% & 4.50\% \\ \hline
**Average** & **32.98\%** & **33.60\%** & **32.46\%** & **28.39\%** & **34.64\%** & **18.67\%** \\ \hline
**W-average** & **32.01\%** & **34.97\%** & **34.32\%** & **30.13\%** & **34.73\%** & **20.21\%** \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Experimental results for the classification datasets using the series of machine learning methods adopted here. The numbers in cells represent average classification error as measured on the corresponding test set. Figure 4: Average execution time for the machine learning methods that were applied to the classification datasets.