Graphics Reference
In-Depth Information
Table 9.5
Average results of accuracy considering the six classifiers
C4.5
DataSqueezer
KNN
Naïve Bayes
PUBLIC
Ripper
FUSINTER
0.7588 Distance
0.5666 PKID
0.7699 PKID
0.7587 FUSINTER
0.7448 Modified Chi2
0.7241
ChiMerge
0.7494 CAIM
0.5547 FFD
0.7594 Modified Chi2
0.7578 CAIM
0.7420 Chi2
0.7196
Zeta
0.7488 Ameva
0.5518 Modified Chi2
0.7573 FUSINTER
0.7576 ChiMerge
0.7390 PKID
0.7097
CAIM
0.7484 MDLP
0.5475 EqualFrequency 0.7557 ChiMerge
0.7543 MDLP
0.7334 MODL
0.7089
UCPD
0.7447 Zeta
0.5475 Khiops
0.7512 FFD
0.7535 Distance
0.7305 FUSINTER
0.7078
Distance
0.7446 ChiMerge
0.5472 EqualWidth
0.7472 CAIM
0.7535 Zeta
0.7301 Khiops
0.6999
MDLP
0.7444 CACC
0.5430 FUSINTER
0.7440 EqualWidth
0.7517 Chi2
0.7278 FFD
0.6970
Chi2
0.7442 Heter-Disc
0.5374 ChiMerge
0.7389 Zeta
0.7507 UCPD
0.7254 EqualWidth
0.6899
Modified Chi2
0.7396 DIBD
0.5322 CAIM
0.7381 EqualFrequency 0.7491 Modified Chi2
0.7250 EqualFrequency 0.6890
Ameva
0.7351 UCPD
0.5172 MODL
0.7372 MODL
0.7479 Khiops
0.7200 CAIM
0.6870
Khiops
0.7312 MVD
0.5147 HellingerBD
0.7327 Chi2
0.7476 Ameva
0.7168 HellingerBD
0.6816
MODL
0.7310 FUSINTER
0.5126 Chi2
0.7267 Khiops
0.7455 HellingerBD
0.7119 USD
0.6807
EqualFrequency 0.7304 Bayesian
0.4915 USD
0.7228 USD
0.7428 EqualFrequency 0.7110 ChiMerge
0.6804
EqualWidth
0.7252 Extended Chi2 0.4913 Ameva
0.7220 ID3
0.7381 MODL
0.7103 ID3
0.6787
(continued)
