Table 7 |
||||
|
Best classification models for the bioassays with mixed, primary and confirmatory data |
||||
|
Assay |
Best Model |
TP% |
FP% |
Accuracy % |
|
|
||||
|
AID604 |
CSC SMO |
64.29 |
20.59 |
79.36 |
|
AID644b |
SMO |
53.85 |
14.29 |
75.61 |
|
AID604&AID644 |
CSC SMO |
76.92 |
11.91 |
88.08 |
|
|
||||
|
AID373 |
MetaCost J48 |
75.00 |
14.50 |
85.49 |
|
AID439ab |
SMO |
50.00 |
9.09 |
84.62 |
|
AID373&AID439 |
MetaCost J48 |
100.00 |
17.65 |
82.35 |
|
|
||||
|
AID746 |
MetaCost J48 |
63.01 |
20.30 |
79.60 |
|
AID1284b |
CSC Random Forest |
54.55 |
18.03 |
77.78 |
|
AID746&AID1284 |
MetaCost J48 |
100.00 |
19.34 |
80.68 |
|
|
||||
|
AID687 |
CSC Naive Bayes |
44.44 |
18.97 |
80.93 |
|
AID721b |
J48 |
0.00 |
0.00 |
77.78 |
|
AID687&AID721 |
MetaCost J48 |
50.00 |
9.49 |
90.49 |
|
|
||||
|
Schierz Journal of Cheminformatics 2009 1:21 doi:10.1186/1758-2946-1-21 |
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