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Table 2 MFCC + spectral contrast classification results for New Turkish Music Dataset

From: Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning

Classifier

Accuracy

Precision

Recall

F-score

Extra tree

0.894

0.899

0.894

0.895

Logistic regression

0.763

0.772

0.763

0.762

Decision tree

0.525

0.532

0.525

0.523

Gaussian NB

0.561

0.624

0.561

0.560

Linear discriminant analysis

0.727

0.737

0.727

0.728

AdaBoost

0.429

0.441

0.429

0.431

GradientBoost

0.798

0.804

0.798

0.798

KNN

0.813

0.830

0.813

0.814

XGBoost

0.833

0.835

0.833

0.831

Random forest

0.818

0.827

0.818

0.818

SVM

0.768

0.769

0.768

0.767