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Table 1 The results of 3 fold cross-validation hyperparameter tuning of Experiment B

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

0.702

0.775

0.759

10

0.733

0.781

0.758

100

0.765

0.781

0.758

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