Table 7.
Average and standard deviation of 10-fold CV accuracy from 10 runs
| BMSF- SVM | GeneSrF- SVM | BMSF- NB | GeneSrF- NB | BMSF- LDA | GeneSrF- LDA | BMSF- QDA | GeneSrF- QDA | |
|---|---|---|---|---|---|---|---|---|
| CNS |
94.11(1.38) |
88.23(0) |
92.05(2.79) |
91.17(0) |
96.47(1.86) |
83.23(3.93) |
95.88(2.05) |
NA(NA) |
| Colon |
94.35(2.04) |
78.22(2.18) |
87.41(1.98) |
86.93(1.93) |
87.41(1.48) |
81.45(0.85) |
89.51(1.9) |
81.12(1.08) |
| DLBCL |
98.57(1.29) |
88.44(2.48) |
88.96(0.68) |
88.57(0.54) |
96.23(0.41) |
85.71(1.36) |
94.15(1.1) |
90(0.62) |
| GCM |
98.07(0.61) |
92.07(0.9) |
87.42(0.76) |
84.17(0.24) |
91.14(0.66) |
77.53(1.41) |
90.25(0.93) |
NA(NA) |
| Leukemia |
98.33(0.58) |
96.66(0.97) |
96.25(0.93) |
94.58(0.43) |
98.33(0.58) |
93.19(0.43) |
97.63(0.67) |
94.58(0.78) |
| Lung |
99.11(0.64) |
98.95(0.4) |
98.39(0.31) |
98.34(0) |
97.79(0.26) |
98.34(0) |
97.56(0.46) |
98.34(0.26) |
| Pros1 |
96.76(0.8) |
92.64(1.24) |
89.6(0.82) |
93.33(0.62) |
95.49(0.5) |
90.98(1.01) |
93.23(0.85) |
91.56(0.68) |
| Pros2 |
97.38(1.2) |
83.75(2.27) |
90(1.17) |
85.11(1.46) |
95.34(1.13) |
85.45(0.71) |
90.11(2.27) |
83.63(1.09) |
| Pros3 | 98.48(1.59) | 93.93(2.47) | 99.69(0.95) | 99.69(0.95) | 96.66(0.95) | 93.93(0) | 100(0) | 96.66(1.72) |
BMSF and random forest (GeneSrF) are used for gene selection and SVM, NB, LDA, QDA are used to build model with the training data and predict the class of test data.