Instance Selection - Data Preprocessing in Data Mining - page 227

Table 8.10 Average results obtained by the best PS methods per family over medium data sets

Red . tst Acc . tst Kap . Acc . ∗ Red . Kap . ∗ Red . Time

MCNN 0.9914 RMHC 0.8306 RMHC 0.6493 SSMA 0.8141 SSMA 0.6328 1NN -

CHC 0.9914 SSMA 0.8292 SSMA 0.6446 CHC 0.8018 CHC 0.6006 POP 0.1706

SSMA 0.9817 RNG 0.8227 HMNEI 0.6397 RNN 0.7580 RMHC 0.5844 CNN 1.1014

CCIS 0.9501 HMNEI 0.8176 ModelCS 0.6336 RMHC 0.7476 RNN 0.5617 FCNN 3.2733

RNN 0.9454 ModelCS 0.8163 RNG 0.6283 GGA 0.7331 GGA 0.5513 MCNN 4.4177

GGA 0.9076 CHC 0.8088 1NN 0.6181 CCIS 0.6774 IB3 0.4615 IB3 6.6172

RMHC 0.9001 GGA 0.8078 POP 0.6143 CPruner 0.6756 FCNN 0.4588 MSS 7.9165

DROP3 0.8926 1NN 0.8060 MSS 0.6126 MCNN 0.6748 DROP3 0.4578 CCIS 12.4040

CPruner 0.8889 AllKNN 0.8052 GGA 0.6074 DROP3 0.6635 CPruner 0.4555 ModelCS 15.4658

ICF 0.8037 POP 0.8037 CHC 0.6058 IB3 0.6144 CCIS 0.5579 AllKNN 24.6167

IB3 0.7670 RNN 0.8017 FCNN 0.6034 FCNN 0.6052 CNN 0.4410 HMNEI 28.9782

FCNN 0.7604 IB3 0.8010 IB3 0.6018 CNN 0.5830 MCNN 0.4295 CPruner 35.3761

CNN 0.7372 MSS 0.8008 CNN 0.5982 ICF 0.5446 Reconsistent 0.3654 MENN 37.1231

Reconsistent 0.6800 FCNN 0.7960 AllKNN 0.5951 Reconsistent 0.5101 MSS 0.3513 ICF 93.0212

MSS 0.5735 CNN 0.7909 RNN 0.5941 MSS 0.4592 HMNEI 0.3422 DROP3 160.0486

HMNEI 0.5350 MENN 0.7840 MENN 0.5768 HMNEI 0.4374 ICF 0.3337 Reconsistent 1,621.7693

MENN 0.3144 CPruner 0.7600 Reconsistent 0.5373 MENN 0.2465 MENN 0.1814 RNG 1,866.7751

AllKNN 0.2098 Reconsistent 0.7501 DROP3 0.5129 AllKNN 0.1689 AllKNN 0.1248 SSMA 6,306.6313

RNG 0.1161 DROP3 0.7433 CPruner 0.5124 RNG 0.0955 RNG 0.0729 CHC 6,803.7974

POP 0.0820 CCIS 0.7130 CCIS 0.4714 POP 0.0659 POP 0.0504 RMHC 12,028.3811

ModelCS 0.0646 MCNN 0.6806 MCNN 0.4332 ModelCS 0.0527 ModelCS 0.0409 GGA 21,262.6911