Research Article

Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization

Table 6

Results for Parkinson’s data; .

FeatureData = 10%Data = 20%Data = 30%Data = 40%Data = 50%Data = 60%Data = 70%Data = 80%
(# of data = 346)(# of data = 691)(# of data = 1037)(# of data = 1382)(# of data = 1728)(# of data = 2074)(# of data =2419)(# of data = 2765)
RMSE RMSE RMSE RMSE RMSE RMSE RMSE RMSE

10%3466.388 ± 0.1826916.221 ± 0.06410376.393 ± 0.14013826.495 ± 0.10617286.644 ± 0.13720746.644 ± 0.13724196.515 ± 0.00627656.406 ± 0.005
20%1736.183 ± 0.1103465.857 ± 0.0315195.932 ± 0.0236915.972 ± 0.0088646.247 ± 0.13710376.247 ± 0.13712106.066 ± 0.01813825.970 ± 0.002
30%1156.152 ± 0.1512305.799 ± 0.0613465.703 ± 0.0674615.708 ± 0.0455766.077 ± 0.0486916.077 ± 0.0488065.964 ± 0.2769225.740 ± 0.089
40%866.328 ± 0.4561735.900 ± 0.0872595.886 ± 0.3423466.175 ± 0.3584326.461 ± 0.2615186.461 ± 0.2616056.299 ± 0.5636916.308 ± 0.677
50%696.991 ± 0.5251387.585 ± 0.7552076.448 ± 0.5802767.493 ± 0.3033468.057 ± 0.0374158.057 ± 0.0374848.160 ± 0.0185538.110 ± 0.012
60%588.357 ± 0.1641158.088 ± 0.0281738.069 ± 0.0782307.960 ± 0.0212888.104 ± 0.0213468.104 ± 0.0214038.147 ± 0.0174618.101 ± 0.002
70%498.401 ± 0.068998.074 ± 0.0641488.087 ± 0.0151978.008 ± 0.0112478.123 ± 0.0092968.123 ± 0.0093468.158 ± 0.0113958.107 ± 0.007
80%438.419 ± 0.091868.257 ± 0.0481308.187 ± 0.0171738.092 ± 0.0202168.177 ± 0.0082598.177 ± 0.0083028.194 ± 0.0083468.138 ± 0.005
90%388.500 ± 0.106778.258 ± 0.0241158.199 ± 0.0171548.139 ± 0.0131928.200 ± 0.0092308.200 ± 0.0092698.217 ± 0.0043078.157 ± 0.006
100%358.560 ± 0.026698.249 ± 0.0331048.262 ± 0.0131388.223 ± 0.0071738.239 ± 0.0062078.239 ± 0.0062428.235 ± 0.0022768.223 ± 0.001