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Table 5 Comparison with existing methods on the blind test set and the new_positive dataset

From: MiPepid: MicroPeptide identification tool using machine learning

Method

Blind test set

New_positive

Positive

Negative

Overall

#Correct

Accuracy

#Correct

Accuracy

F1

Accuracy

#Correct

Accuracy

CPC [24]

17

0.02

567

1.00

0.04

0.42

0

0.00

CPC2 [25]

61

0.07

567

1.00

0.14

0.45

0

0.00

CPAT [26]

261

0.32

567

1.00

0.48

0.60

3

0.60

MiPepid (our method)

789

0.96

542

0.96

0.96

0.96

5

1.00

  1. positive: the positive subset of the blind test set;
  2. negative: the negative subset of the blind test set;
  3. overall: the overall performance on the blind test set;
  4. #correct: the number of correctly classified cases by a method;
  5. accuracy: #correct divided by the total number of cases in that dataset/subset;
  6. F1: the F1score