Research Article
An Efficient Cancer Classification Model Using Microarray and High-Dimensional Data
Table 3
PCC-DTCV model with DT and PPC
0.4.
| Dataset | Features | Selected features | PCC-DTCV model with DT and PPC | Accuracy | AUC | Sensitivity | Specificity | Recall | F1-score | 0 | 1 | 0 | 1 |
| Singh | 12600 | 299 | 0.77 0.16 | 0.78 0.16 | 0.78 0.19 | 0.77 0.20 | 0.80 | 0.79 | 0.79 | 0.80 | Gordon | 12533 | 743 | 0.93 0.06 | 0.88 0.11 | 0.97 0.06 | 0.79 0.24 | 0.95 | 0.71 | 0.95 | 0.73 | Chowdary | 22283 | 410 | 0.90 0.09 | 0.89 0.08 | 0.90 0.15 | 0.88 0.12 | 0.94 | 0.88 | 0.93 | 0.89 | Alon | 2000 | 61 | 0.79 0.20 | 0.075 0.22 | 0.62 0.37 | 0.88 0.20 | 0.64 | 0.82 | 0.65 | 0.81 | Chin | 22215 | 1211 | 0.81 0.12 | 0.80 0.11 | 0.78 0.13 | 0.82 0.17 | 0.79 | 0.85 | 0.77 | 0.86 | West | 7129 | 28 | 0.83 0.15 | 0.84 0.16 | 0.82 0.23 | 0.87 0.16 | 0.84 | 0.83 | 0.84 | 0.83 | Golub | 7129 | 465 | 0.89 0.11 | 0.87 0.13 | 0.93 0.10 | 0.80 0.21 | 0.89 | 0.76 | 0.88 | 0.78 |
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