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Table 2 Model Performance Comparison with Varying Features for acute GvHD grades 0 to 2 vs 3 and 4

From: Leveraging machine learning for predicting acute graft-versus-host disease grades in allogeneic hematopoietic cell transplantation for T-cell prolymphocytic leukaemia

Model

Number of features

Training Balanced accuracy

Testing Balanced accuracy

Testing F1 score

Testing ROC AUC

KNeighborsClassifier

5

0.95

0.56

0.77

0.60

LinearDiscriminantAnalysis

5

069

0.57

0.75

0.60

MLPClassifier

5

0.67

0.57

0.75

0.59

KNeighborsClassifier

6

0.93

0.52

0.72

0.60

LinearDiscriminantAnalysis

6

0.70

0.57

0.73

0.60

MLPClassifier

6

0.85

0.52

0.76

0.55

KNeighborsClassifier

9

0.94

0.52

0.73

0.53

LinearDiscriminantAnalysis

9

0.71

0.58

0.74

0.58

MLPClassifier

9

1.00

0.49

0.78

0.50