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Table 3 Results of the DNA sequence Classification Algorithms and Time Complexity

From: Optimizing classification efficiency with machine learning techniques for pattern matching

 

Algorithms

Accuracy

Precision

ROC_AUC

Recall

F1 score

Execution time

1

KNN

0.778

0.62

0.701

0.65

0.79

14.448

2

Decision Tree

0.815

0.92

0.891

0.71

0.8

13.271

3

Random Forest

0.609

0.67

0.623

0.47

0.55

12.983

4

Naive Bayes

0.838

0.83

0.855

0.88

0.94

12.606

5

SVM RBF

0.925

0.83

0.937

0.88

0.94

13.173

6

SVM Sigmoid

0.925

0.83

0.952

0.88

0.94

14.189

7

SVM Linear

0.963

0.91

0.963

0.94

0.97

10.059