Research Article

Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions

Table 4

Comparison with previous models on human m5C data.

Classification algorithmModelSNSPACCMCC

Decision treeOur model0.7670.8080.7880.576
Model in [22]0.7830.7830.7830.567

Random forestOur model0.8750.8670.8710.742
Model in [22]0.9000.9170.9080.817

Support vector machineOur model0.8250.9580.8920.790
Model in [22]0.8420.9670.9040.815