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Table 5 Metrics for the different machine learning models

From: Utilizing deep learning and graph mining to identify drug use on Twitter data

Models

Accuracy (%)

Precision

Recall

F1 score

AUC

CNN model-A

82.31

0.893

0.784

0.835

0.91

CNN model-B

76.35

0.597

0.906

0.719

0.90

BERT model-A

79.27

0.850

0.713

0.775

0.79

BERT model-B

64.25

0.871

0.338

0.669

0.64

Decision tree

63.40

0.925

0.584

0.716

0.68

SVM

59.33

0.220

0.943

0.356

0.87

XGBoost

54.90

0.146

0.847

0.246

0.71

Logistic-1

57.44

0.873

0.546

0.672

0.58

Logistic-2

54.56

0.954

0.525

0.677

0.58

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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