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Table 2 The performance of models on AL diagnosis for In-Sample Test

From: Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia

 

SVM

RF

XGBoost

Sensitivity (%)

92.23 ± 4.32

94.44 ± 5.27

95.86 ± 4.21

Specificity (%)

94.43 ± 3.77

91.76 ± 4.85

94.21 ± 4.96

Accuracy (%)

87.24 ± 4.23

88.76 ± 5.11

90.23 ± 4.89

AUCa

0.812 ± 0.036

0.821 ± 0.032

0.828 ± 0.035

  1. SVM: support vector machine; RF: random forest; XGboost: eXtreme Gradient Boosting; AUC: area under curve
  2. aROC analysis
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Journal of Translational Medicine

ISSN: 1479-5876

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