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Table 5 The true positive and negative prediction performance of morphology and XGBoost model in Group B

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

  Diagnosis (model/clinical diagnosis) Kappa value p value AUCe
+/+a b ±c −/−d
M 268 12 86 222 0.670 < 0.001 0.742
X 252 28 34 274 0.789 0.720 0.830
M + X 262 18 26 282 0.850 0.523 0.872
  1. McNemar’s test
  2. M: morphology; X: XGBoost model; AUC: area under curve
  3. aOur model or clinical diagnosis were both positive-children were with leukemia
  4. bOur model diagnosed children as normal, but the clinical diagnosis of them was leukemia
  5. cOur model diagnosed children as leukemia, but the clinical diagnosis of them was normal
  6. dOur model or clinical diagnosis were both negative, and children were normal
  7. eROC analysis