Dataset
|
Classifier*
|
TP%
|
FP%
|
TN%
|
FN%
|
Accuracy
|
ROC area
|
BCR
#
|
MCC
$
|
---|
AID1626
|
CSCNB
|
44.4
|
19.3
|
80.7
|
55.6
|
80.32%
|
0.707
|
0.625
|
0.061
|
|
CSCRF
|
65.7
|
17.5
|
82.5
|
34.3
|
82.36%
|
0.823
|
0.741
|
0.122
|
|
CSCSMO
|
51.2
|
18.8
|
81.2
|
48.8
|
80.88%
|
0.750
|
0.662
|
0.080
|
|
MetaCostJ48
|
59.3
|
19.6
|
80.4
|
40.7
|
80.24%
|
0.690
|
0.698
|
0.097
|
AID1949
|
CSCNB
|
46.9
|
19.4
|
80.6
|
53.1
|
80.04%
|
0.712
|
0.637
|
0.080
|
|
CSCRF
|
69.2
|
18.5
|
81.5
|
30.8
|
81.25%
|
0.825
|
0.753
|
0.162
|
|
CSCSMO
|
54.1
|
19.9
|
80.1
|
45.9
|
79.63%
|
0.744
|
0.671
|
0.107
|
|
MetaCostJ48
|
61.6
|
18.5
|
81.5
|
38.4
|
81.17%
|
0.718
|
0.715
|
0.138
|
AID1332
|
NB
|
39.4
|
19.5
|
80.5
|
60.6
|
74.31%
|
0.686
|
0.599
|
0.171
|
|
CSCRF
|
81.8
|
17.3
|
82.7
|
18.2
|
82.57%
|
0.876
|
0.822
|
0.521
|
|
CSCSMO
|
72.7
|
16.2
|
83.8
|
27.3
|
82.11%
|
0.806
|
0.782
|
0.469
|
|
MetaCostJ48
|
72.7
|
17.3
|
82.7
|
27.3
|
81.19%
|
0.762
|
0.777
|
0.454
|
- * CSC denotes CostSensitiveClassifier, # BCR - Balanced Classification Rate,
- $ MCC - Matthews Correlation Coefficient