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Table 3 Confusion matrix of the test samples (N = 48)

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

Confusion matrix (3 attributes)

Test samples = 48; Actual low responders = 12; Actual high responders = 36

 

Predicted: low responders

Predicted: high responders

KNN

 Actual: low responders

7

5

 Actual: high responders

2

34

ANN

 Actual: low responders

4

8

 Actual: high responders

1

35

  1. KNN k-nearest neighbors, ANN artificial neural network
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Journal of NeuroEngineering and Rehabilitation

ISSN: 1743-0003

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