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Table 5 Confusion matrix for the most accurate classification model

From: Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data

  

Observations

  

Lying

Standing

Feeding

Walking

Running

Prediction

Lying

204

1

22

1

0

 

Standing

0

1

0

0

0

 

Feeding

16

4

166

2

0

 

Walking

1

0

5

3

0

 

Running

0

1

0

1

2

  1. Confusion matrix of the model with the highest macro-balanced accuracy (MBA). The model was trained using discriminant analysis and the input variables xminmax + yminmax + ratio(x, y)minmax
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Animal Biotelemetry

ISSN: 2050-3385