Table 2 Comparison of the classification performance in ALL-IDB dataset with peer studies.

From: Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction

Study

Model

Classifier

Classifier

Precision

Recall

F1-score

This study

VGG16

XGBoost

0.86

0.86

0.85

87.00%

InceptionV3

SVM

0.86

0.87

0.87

88.00%

(Pałczyński, et al., 2021)17

MobilenetV2

RF

-

-

0.76

76.9%

XGBoost

-

-

0.75

75.3%

Decision tree

-

-

0.62

62.3%

(Umar et al.,2023)33

AlexNet

SVM

0.80

0.71

-

78.04%

InceptionV3

0.84

0.94

-

87.05%

VGG16

0.85

0.89

-

81.00%

ResNet101

0.81

0.72

-

79.50%

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