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Table 3 Classification of color-coded images using convolutional neural networks

From: Activity landscape image analysis using convolutional neural networks

Collection

CNN

Metric

1

0.74 ± 0.01

Accuracy

0.74 ± 0.01

F1

0.61 ± 0.01

MCC

2

0.72 ± 0.02

Accuracy

0.72 ± 0.02

F1

0.58 ± 0.03

MCC

3

0.71 ± 0.02

Accuracy

0.71 ± 0.03

F1

0.56 ± 0.04

MCC

4

0.73 ± 0.04

Accuracy

0.73 ± 0.04

F1

0.60 ± 0.06

MCC

5

0.70 ± 0.04

Accuracy

0.70 ± 0.04

F1

0.55 ± 0.06

MCC

6

0.72 ± 0.03

Accuracy

0.72 ± 0.03

F1

0.58 ± 0.04

MCC

7

0.75 ± 0.03

Accuracy

0.75 ± 0.03

F1

0.62 ± 0.04

MCC

  1. The table reports classification results for CNN models trained and tested on color-coded images. All values reported are averages ± standard deviations over 10 independent trials