Dealing with Missing Values - Data Preprocessing in Data Mining - page 91

Table 4.2 Wilson's noise ratio values and average MI values per data set
Data set

Imp. % Wilson's Avg. Mui Data set Imp. % Wilson's Avg. Mui Data set Imp. % Wilson's Avg. Mui

Method Noise ratio Method Noise ratio Method Noise ratio

CLE MC 50.0000 0.998195 HOV MC 7.9208 0.961834 HEP MC 17.3333 0.963765

CMC 50.0000 0.998585 CMC 5.4455 1.105778 CMC 16.0000 0.990694

KNNI 50.0000 0.998755 KNNI 7.4257 0.965069 KNNI 20.0000 0.978564

WKNNI 50.0000 0.998795 WKNNI 7.4257 0.965069 WKNNI 20.0000 0.978343

KMI 50.0000 0.998798 KMI 7.4257 0.961525 KMI 20.0000 0.980094

FKMI 50.0000 0.998889 FKMI 7.9208 0.961834 FKMI 17.3333 0.963476

SVMI 50.0000 0.998365 SVMI 6.9307 0.908067 SVMI 17.3333 1.006819

EM 66.6667 0.998152 EM 11.8812 0.891668 EM 22.6667 0.974433

SVDI 66.6667 0.997152 SVDI 8.9109 0.850361 SVDI 21.3333 0.967673

BPCA 50.0000 0.998701 BPCA 6.9307 1.091675 BPCA 21.3333 0.994420

LLSI 50.0000 0.998882 LLSI 4.9505 1.122904 LLSI 18.6667 0.995464

EC 33.3333 1.000148 EC 7.4257 1.007843 EC 16.0000 1.024019

WIS MC 18.7500 0.999004 WAT MC 31.5068 0.959488 MUS MC 0.0000 1.018382

CMC 12.5000 0.999861 CMC 21.2329 0.967967 CMC 0.0000 1.018382

KNNI 12.5000 0.999205 KNNI 27.3973 0.961601 KNNI 0.0000 0.981261

WKNNI 12.5000 0.999205 WKNNI 27.3973 0.961574 WKNNI 0.0000 0.981261

KMI 12.5000 0.999322 KMI 27.3973 0.961361 KMI 0.0000 1.018382

FKMI 12.5000 0.998923 FKMI 31.5068 0.961590 FKMI 0.0000 1.018382

SVMI 12.5000 0.999412 SVMI 23.9726 0.967356 SVMI 0.0000 0.981261

EM 12.5000 0.990030 EM 46.5753 0.933846 EM 0.0000 1.142177

SVDI 12.5000 0.987066 SVDI 49.3151 0.933040 SVDI 0.0000 1.137152

BPCA 12.5000 0.998951 BPCA 26.0274 0.964255 BPCA 0.0000 0.987472