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Table 1 Algorithm selection

From: PCirc: random forest-based plant circRNA identification software

Feature

Algorithm

ACC

PRE

REC

F1-score

k-mers

RF

0.9584

0.9448

0.9738

0.9590

 

KNN

0.8465

0.8081

0.9092

0.8556

 

GNB

0.8718

0.9279

0.8064

0.8627

 

SVM

0.9574

0.9589

0.9559

0.9573

ORFs

RF

0.9716

0.9712

0.9721

0.9716

 

KNN

0.9717

0.9757

0.9676

0.9716

 

GNB

0.9681

0.9603

0.9767

0.9684

 

SVM

0.9663

0.9611

0.9720

0.9665

SJSC

RF

0.9433

0.9494

0.9367

0.9429

 

KNN

0.7472

0.7233

0.8013

0.7601

 

GNB

0.8036

0.7925

0.8232

0.8074

 

SVM

0.8700

0.8553

0.8910

0.8726

  1. For each type of feature, the bold values in this table represent the best score for each evaluation parameter