Graphics Reference
In-Depth Information
Table 9.4
Average results collected from intrinsic properties of the discretizers: number of intervals
obtained and inconsistency rates in training and test data
Number int.
Incons. train
Incons. tst
Heter-Disc
8.3125
ID3
0.0504
ID3
0.0349
MVD
18.4575
PKID
0.0581
PKID
0.0358
Distance
23.2125 Modified Chi2
0.0693
FFD
0.0377
UCPD
35.0225
FFD
0.0693
HDD
0.0405
MDLP
36.6600
HDD
0.0755 Modified Chi2
0.0409
Chi2
46.6350
USD
0.0874
USD
0.0512
FUSINTER
59.9850
ClusterAnalysis
0.0958
Khiops
0.0599
DIBD
64.4025
Khiops
0.1157
ClusterAnalysis
0.0623
CADD
67.7100
EqualWidth
0.1222
EqualWidth
0.0627
ChiMerge
69.5625
EqualFrequency
0.1355
EqualFrequency
0.0652
CAIM
72.5125
Chi2
0.1360
Chi2
0.0653
Zeta
75.9325
Bayesian
0.1642
FUSINTER
0.0854
Ameva
78.8425 MODL
0.1716 MODL
0.0970
Khiops
130.3000
FUSINTER
0.1735
HellingerBD
0.1054
1R
162.1925
HellingerBD
0.1975
Bayesian
0.1139
EqualWidth
171.7200
IDD
0.2061
UCPD
0.1383
Extended Chi2
205.2650
ChiMerge
0.2504
ChiMerge
0.1432
HellingerBD
244.6925
UCPD
0.2605
IDD
0.1570
EqualFrequency
267.7250
CAIM
0.2810
CAIM
0.1589
PKID
295.9550
Extended Chi2
0.3048
Extended Chi2
0.1762
MODL
335.8700
Ameva
0.3050
Ameva
0.1932
FFD
342.6050
1R
0.3112
CACC
0.2047
IDD
349.1250
CACC
0.3118
1R
0.2441
Modified Chi2
353.6000 MDLP
0.3783
Zeta
0.2454
CACC
505.5775
Zeta
0.3913 MDLP
0.2501
ClusterAnalysis
1116.1800 MVD
0.4237
DIBD
0.2757
USD
1276.1775
Distance
0.4274
Distance
0.2987
Bayesian
1336.0175
DIBD
0.4367 MVD
0.3171
ID3
1858.3000
CADD
0.6532
CADD
0.5688
HDD
2202.5275
Heter-Disc
0.6749
Heter-Disc
0.5708
9.4.2 Analysis and Empirical Results
Table
9.4
presents the average results corresponding to the number of intervals and
inconsistency rate in training and test data by all the discretizers over the 40 data
sets. Similarly, Tables
9.5
and
9.6
collect the average results associated to accuracy
and kappa measures for each classifier considered. For each metric, the discretizers
are ordered from the best to the worst. In Tables
9.5
and
9.6
, we highlight those
