# QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution
## 4 Experiments
### Experimental Results
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**DATASET** & **MRMR** & **PCA** & **FCRBF** & **FCMLP** & **FCNNC** \\ \hline ALCOHOL & 56.75\% & 70.29\% & 35.56\% & 26.57\% & 28.58\% \\ \hline AUSTRALIAN & 32.92\% & 49.97\% & 15.37\% & 14.31\% & 14.24\% \\ \hline BALANCE & 56.80\% & 56.48\% & 14.39\% & 1.42\% & 1.52\% \\ \hline DERMATOLOGY & 68.54\% & 62.11\% & 22.42\% & 15.06\% & 15.42\% \\ \hline GLASS & 58.35\% & 50.16\% & 49.81\% & 55.94\% & 52.62\% \\ \hline HAYES ROTH & 61.21\% & 61.13\% & 34.59\% & 29.58\% & 30.67\% \\ \hline HEART & 38.04\% & 35.84\% & 18.61\% & 15.67\% & 17.21\% \\ \hline HOUSEVOTES & 3.05\% & 10.80\% & 7.15\% & 5.22\% & 3.96\% \\ \hline IONOSPHERE & 12.93\% & 21.22\% & 9.83\% & 9.48\% & 9.92\% \\ \hline LIVERDISORDER & 40.32\% & 45.01\% & 30.77\% & 31.98\% & 30.24\% \\ \hline MAMMOGRAPHIC & 16.84\% & 17.23\% & 16.68\% & 17.92\% & 16.75\% \\ \hline PAGEBLOCKS & 14.91\% & 13.05\% & 9.24\% & 5.58\% & 5.85\% \\ \hline PARKINSONS & 17.16\% & 16.96\% & 8.48\% & 10.82\% & 12.53\% \\ \hline PIMA & 26.29\% & 39.43\% & 24.07\% & 30.02\% & 25.01\% \\ \hline POPFAILURES & 7.04\% & 31.42\% & 4.94\% & 4.94\% & 4.43\% \\ \hline REGIONS2 & 33.31\% & 32.50\% & 25.49\% & 27.52\% & 24.40\% \\ \hline SAHEART & 28.78\% & 36.96\% & 29.10\% & 27.91\% & 27.17\% \\ \hline SEGMENT & 45.72\% & 70.29\% & 39.35\% & 49.52\% & 46.14\% \\ \hline SONAR & 43.92\% & 49.97\% & 24.35\% & 25.38\% & 23.68\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Comparison against MRMR and PCA for the classification datasets. \begin{table}
\begin{tabular}{c c c c c c} \hline
**DATASET** & **MRMR** & **PCA** & **FCRBF** & **FCMLP** & **FCNNC** \\ \hline ABALONE & 6.48 & 6.70 & 4.46 & 4.18 & 4.39 \\ \hline AIRFOIL & 0.003 & 0.019 & 0.002 & 0.001 & 0.001 \\ \hline BASEBALL & 100.21 & 101.87 & 48.04 & 52.50 & 51.40 \\ \hline BK & 0.03 & 0.17 & 0.02 & 0.02 & 0.02 \\ \hline BL & 0.15 & 0.19 & 0.04 & 0.001 & 0.01 \\ \hline CONCRETE & 0.025 & 0.273 & 0.006 & 0.004 & 0.005 \\ \hline DEE & 0.40 & 0.55 & 0.18 & 0.40 & 0.38 \\ \hline DIABETES & 19.86 & 27.36 & 1.49 & 0.58 & 0.61 \\ \hline HOUSING & 67.97 & 119.08 & 12.78 & 28.47 & 17.47 \\ \hline FA & 0.02 & 0.08 & 0.01 & 0.02 & 0.01 \\ \hline MB & 3.39 & 4.33 & 0.48 & 0.12 & 0.06 \\ \hline MORTGAGE & 0.17 & 2.41 & 0.66 & 1.37 & 0.22 \\ \hline NT & 0.05 & 1.57 & 0.25 & 0.007 & 0.02 \\ \hline PY & 1.56 & 0.30 & 0.17 & 0.03 & 0.03 \\ \hline QUAKE & 1.44 & 1.80 & 0.06 & 0.02 & 0.04 \\ \hline TREASURY & 0.12 & 3.13 & 0.29 & 1.41 & 0.11 \\ \hline WANKARA & 0.002 & 0.90 & 0.0004 & 0.0002 & 0.0002 \\ \hline AVERAGE & 11.88 & 15.93 & 4.06 & 5.24 & 4.4 \\ \hline \end{tabular}
\end{table} 
Table 6: Comparison against MRMR and PCA for the regression datasets. \begin{table}
\begin{tabular}{c c c c c} \hline
**FEAUTRES** & **AVERAGE CLASS** & **AVERAGE REGRESSION** \\ \hline
1 & 23.02\% & 4.73 \\ \hline
2 & 22.11\% & 4.06 \\ \hline
3 & 21.03\% & 4.23 \\ \hline
4 & 22.16\% & 4.28 \\ \hline \end{tabular}
\end{table} 
Table 7: Average errors regarding the number of features. \begin{table}
\begin{tabular}{c c c c c c} \hline
**DATASET** & **MRMR** & **PCA** & **FCRBF** & **FCMLP** & **FCNNC** \\ \hline SPIRAL & 44.87\% & 45.94\% & 34.34\% & 45.53\% & 42.69\% \\ \hline TAE & 61.00\% & 64.80\% & 50.95\% & 56.87\% & 55.67\% \\ \hline WDBC & 12.91\% & 10.28\% & 3.39\% & 4.36\% & 4.51\% \\ \hline WINE & 30.73\% & 30.39\% & 7.61\% & 11.08\% & 11.61\% \\ \hline Z\_F\_S & 32.71\% & 44.81\% & 5.48\% & 6.72\% & 6.63\% \\ \hline ZO\_NF\_S & 33.79\% & 40.02\% & 4.08\% & 4.25\% & 4.34\% \\ \hline ZONF\_S & 10.31\% & 12.63\% & 1.89\% & 4.62\% & 3.18\% \\ \hline Z\_O\_N\_F\_S & 43.04\% & 56.45\% & 39.29\% & 40.93\% & 41.19\% \\ \hline ZOO & 19.03\% & 11.50\% & 26.07\% & 13.30\% & 10.33\% \\ \hline AVERAGE & 33.97\% & 38.84\% & 22.11\% & 22.02\% & 21.22\% \\ \hline \end{tabular}
\end{table} 
Table 5: _Cont._