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Table 2 The result of 3 fold cross-validation hyperparameter tuning of Experiment C

From: CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

γ

0.0001

0.001

0.01

C

 

1

0.705

0.783

0.763

10

0.732

0.788

0.762

100

0.763

0.788

0.762

  1. All the values in the table are ROC-AUC. The best result is achieved for C=10 and γ=0.001