Research Article
Constraint Programming Based Biomarker Optimization
Table 1
Performance comparison of the algorithm fsCoP. fsCoP has no prefixed features, and the model fsCoP(ACE2) has two predetermined features.
| GSE5406 |
| fsCoP | Sn | Sp | Acc | Avc | MCC |
| SVM | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NBayes | 1.000 | 0.998 | 1.000 | 0.999 | 0.999 | DTree | 0.992 | 0.800 | 0.967 | 0.896 | 0.848 | Lasso | 0.999 | 0.900 | 0.987 | 0.950 | 0.939 | KNN | 1.000 | 0.871 | 0.983 | 0.936 | 0.923 |
| fsCoP(ACE2) | Sn | Sp | Acc | Avc | MCC |
| SVM | 1.000 | 0.996 | 0.999 | 0.998 | 0.998 | NBayes | 1.000 | 0.998 | 1.000 | 0.999 | 0.999 | DTree | 0.993 | 0.796 | 0.967 | 0.894 | 0.847 | Lasso | 1.000 | 0.907 | 0.988 | 0.953 | 0.944 | KNN | 0.999 | 0.860 | 0.982 | 0.930 | 0.916 |
| GSE1869 |
| fsCoP | Sn | Sp | Acc | Avc | MCC |
| SVM | 1.000 | 0.955 | 0.983 | 0.978 | 0.965 | NBayes | 1.000 | 0.972 | 0.990 | 0.986 | 0.979 | DTree | 0.907 | 0.000 | 0.567 | 0.453 | NaN | Lasso | 0.960 | 0.989 | 0.971 | 0.974 | 0.943 | KNN | 1.000 | 0.994 | 0.998 | 0.997 | 0.996 |
| fsCoP(ACE2) | Sn | Sp | Acc | Avc | MCC |
| SVM | 1.000 | 0.939 | 0.977 | 0.970 | 0.953 | NBayes | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | DTree | 0.987 | 0.000 | 0.617 | 0.493 | NaN | Lasso | 0.990 | 0.967 | 0.981 | 0.978 | 0.962 | KNN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
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