CM1 |
Naïve Bayes [5] |
71.03 |
78.65 |
34.09 |
68.37 |
64.57 |
0.75 |
0.1456 |
Random Forest [5] |
70.09 |
71.29 |
32.17 |
68.94 |
60.98 |
0.74 |
0.2314 |
C4.5 Miner [5] |
74.91 |
74.66 |
27.68 |
73.58 |
66.71 |
0.53 |
0.3765 |
Immunos [5] |
73.65 |
75.02 |
30.99 |
71.24 |
66.03 |
0.63 |
0.1732 |
ANN-ABC [5] |
75.00 |
81.00 |
33.00 |
71.00 |
68.00 |
0.77 |
0.2435 |
Hybrid self-organizing map [13] |
70.12 |
78.96 |
30.65 |
69.73 |
72.37 |
0.80 |
0.0810 |
Support vector machine [14] |
78.97 |
79.08 |
31.27 |
73.35 |
78.69 |
0.79 |
0.0154 |
Majority Vote [14] |
79.80 |
80.00 |
30.46 |
74.16 |
77.01 |
0.81 |
0.1968 |
AntMiner+ [14] |
80.65 |
78.88 |
30.90 |
74.22 |
79.43 |
0.84 |
0.0345 |
Proposed ADBBO-RBFNN model
|
81.92
|
80.96
|
29.71
|
75.41
|
82.57
|
0.90
|
0.0067
|
|
JM1 |
Naïve Bayes [5] |
68.98 |
69.77 |
36.54 |
66.11 |
60.78 |
0.68 |
0.6547 |
Random Forest [5] |
66.72 |
72.38 |
33.47 |
66.62 |
63.97 |
0.75 |
0.6721 |
C4.5 Miner [5] |
69.08 |
68.55 |
40.67 |
63.87 |
62.35 |
0.61 |
0.5498 |
Immunos [5] |
70.99 |
70.21 |
43.00 |
63.32 |
64.55 |
0.63 |
0.4219 |
ANN-ABC [5] |
71.00 |
73.05 |
41.00 |
64.00 |
61.00 |
0.71 |
0.4057 |
Hybrid self-organizing map [13] |
71.02 |
74.90 |
40.57 |
64.75 |
72.33 |
0.82 |
0.5692 |
Support vector machine [14] |
70.89 |
79.00 |
39.87 |
65.09 |
70.32 |
0.81 |
0.3759 |
Majority Vote [14] |
74.65 |
73.46 |
40.36 |
66.30 |
75.92 |
0.83 |
0.0345 |
AntMiner+ [14] |
75.81 |
80.96 |
37.12 |
68.67 |
74.51 |
0.72 |
0.1786 |
Proposed ADBBO-RBFNN model
|
79.85
|
82.31
|
36.22
|
70.69
|
77.03
|
0.87
|
0.0156
|
|
KC1 |
Naïve Bayes [5] |
74.33 |
76.85 |
35.71 |
68.90 |
65.87 |
0.79 |
0.9854 |
Random Forest [5] |
72.54 |
75.89 |
37.91 |
66.90 |
67.99 |
0.80 |
0.6231 |
C4.5 Miner [5] |
76.42 |
75.64 |
34.05 |
70.71 |
68.01 |
0.64 |
0.7893 |
Immunos [5] |
78.05 |
72.91 |
36.92 |
69.63 |
63.55 |
0.71 |
0.6451 |
ANN-ABC [5] |
79.00 |
77.00 |
33.00 |
72.00 |
69.00 |
0.80 |
0.2257 |
Hybrid self-organizing map [13] |
80.92 |
80.94 |
35.67 |
71.40 |
78.43 |
0.86 |
0.1847 |
Support vector machine [14] |
81.37 |
81.27 |
28.96 |
75.65 |
79.24 |
0.83 |
0.5467 |
Majority Vote [14] |
82.65 |
85.62 |
30.98 |
74.89 |
79.66 |
0.85 |
0.0578 |
AntMiner+ [14] |
84.29 |
84.99 |
26.11 |
80.40 |
80.51 |
0.90 |
0.0346 |
Proposed ADBBO-RBFNN model
|
85.67
|
87.95
|
20.24
|
82.46
|
84.96
|
0.92
|
0.0239
|
|
KC2 |
Naïve Bayes [5] |
77.24 |
75.98 |
24.57 |
76.32 |
74.00 |
0.82 |
0.1453 |
Random Forest [5] |
70.32 |
70.71 |
23.90 |
73.05 |
77.81 |
0.82 |
0.5498 |
C4.5 Miner [5] |
69.87 |
74.67 |
29.19 |
70.34 |
76.54 |
0.67 |
0.6672 |
Immunos [5] |
76.51 |
75.92 |
25.06 |
75.71 |
72.90 |
0.73 |
0.4591 |
ANN-ABC [5] |
79.00 |
76.00 |
21.00 |
79.00 |
79.00 |
0.85 |
0.3195 |
Hybrid self-organizing map [13] |
80.98 |
77.82 |
23.09 |
78.85 |
85.98 |
0.91 |
0.1666 |
Support vector machine [14] |
84.35 |
78.96 |
25.61 |
78.78 |
87.12 |
0.88 |
0.2789 |
Majority Vote [14] |
86.71 |
84.77 |
20.38 |
82.80 |
83.47 |
0.82 |
0.1087 |
AntMiner+ [14] |
86.07 |
83.98 |
21.88 |
81.66 |
90.86 |
0.80 |
0.0985 |
Proposed ADBBO-RBFNN model
|
87.96
|
86.24
|
17.93
|
84.73
|
95.65
|
0.95
|
0.0067
|
|
PC1 |
Naïve Bayes [5] |
87.98 |
82.34 |
42.31 |
68.90 |
60.00 |
0.70 |
0.7689 |
Random Forest [5] |
82.31 |
80.99 |
46.71 |
64.68 |
63.98 |
0.85 |
0.6792 |
C4.5 Miner [5] |
76.58 |
81.76 |
38.24 |
68.29 |
62.18 |
0.68 |
0.5564 |
Immunos [5] |
81.99 |
79.66 |
39.00 |
69.62 |
61.73 |
0.64 |
0.4987 |
ANN-ABC [5] |
89.00 |
83.00 |
37.00 |
73.00 |
65.00 |
0.82 |
0.3125 |
Hybrid self-organizing map [13] |
86.79 |
85.67 |
35.60 |
73.15 |
95.87 |
0.87 |
0.1325 |
Support vector machine (SVM) [14] |
80.98 |
86.59 |
34.98 |
71.85 |
92.45 |
0.76 |
0.2037 |
Majority Vote [14] |
84.61 |
84.37 |
36.08 |
72.26 |
92.50 |
0.85 |
0.1078 |
AntMiner+ [14] |
89.34 |
87.12 |
37.29 |
72.58 |
91.85 |
0.91 |
0.0987 |
Proposed ADBBO-RBFNN model
|
90.89
|
89.33
|
30.23
|
73.49
|
96.29
|
0.93
|
0.0379
|