Research Article
Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions
Table 1
Performance of models based on different classification algorithms for predicting mouse m5C sites.
| Classification algorithm | Number of features | SN | SP | ACC | MCC | Precision | -measure |
| Decision tree | 195 | 1.000 | 0.990 | 0.995 | 0.990 | 0.990 | 0.995 | -nearest neighbor | 3 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | Random forest | 10 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | Support vector machine | 3 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
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