Research Article
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods
Table 1
Performance of random forest and decision tree under some feature subsets derived from three lists generated by three feature ranking algorithms.
| Feature ranking algorithms | Classification algorithm | Number of features | Weighted | Macro | MCC | ACC |
| LASSO | RF | 110 | 0.971 | 0.980 | 0.971 | 0.971 | RF | 8850 | 0.987 | 0.990 | 0.987 | 0.987 | DT | 7490 | 0.867 | 0.863 | 0.863 | 0.867 | LightGBM | RF | 30 | 0.940 | 0.948 | 0.939 | 0.940 | RF | 4520 | 0.991 | 0.993 | 0.990 | 0.990 | DT | 3900 | 0.868 | 0.861 | 0.864 | 0.868 | MCFS | RF | 310 | 0.978 | 0.982 | 0.978 | 0.978 | RF | 7020 | 0.987 | 0.991 | 0.987 | 0.987 | DT | 5520 | 0.868 | 0.860 | 0.863 | 0.866 |
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