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Table 2 Model performance metrics of KNN and ANN models with the 3 and 13 attributes

From: Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches

Models

Accuracy (%)

Recall (sensitivity)

Specificity

Precision (PPV)

NPV

F1 scores

AUC-ROC

3 attributes

       

 KNN

85.42

0.85

0.67

0.85

0.8

0.85

0.89

 ANN

81.25

0.81

0.49

0.80

0.8

0.79

0.77

13 attributes

       

 KNN

60.42

0.6

0.37

0.62

0.36

0.61

0.48

 ANN

68.75

0.69

0.51

0.7

0.49

0.69

0.71

  1. KNN k-nearest neighbors, ANN artificial neural network, PPV positive predictive value, NPV negative predictive value, AUC-ROC area under the receiver operating characteristic curve