Skip to main content

Table 2 Evaluation of each modification in tenfold cross-validation before CWGAN

From: Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks

  Acc Sp Sn MCC AUC
S1 0.8510 0.8396 0.8867 0.6583 0.9682
S2 0.9169 0.9643 0.5327 0.5421 0.9080
S3 0.9177 0.9827 0.2891 0.3912 0.8693
S4 0.9362 0.9857 0.4372 0.5435 0.9185
S5 0.9140 0.9545 0.6411 0.6096 0.9300
S6 0.9390 0.9885 0.4510 0.5723 0.9206
S7 0.9065 0.8981 0.9326 0.7749 0.9829
\