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

From: Activity landscape image analysis using convolutional neural networks

CollectionCNNMetric
10.74 ± 0.01Accuracy
0.74 ± 0.01F1
0.61 ± 0.01MCC
20.72 ± 0.02Accuracy
0.72 ± 0.02F1
0.58 ± 0.03MCC
30.71 ± 0.02Accuracy
0.71 ± 0.03F1
0.56 ± 0.04MCC
40.73 ± 0.04Accuracy
0.73 ± 0.04F1
0.60 ± 0.06MCC
50.70 ± 0.04Accuracy
0.70 ± 0.04F1
0.55 ± 0.06MCC
60.72 ± 0.03Accuracy
0.72 ± 0.03F1
0.58 ± 0.04MCC
70.75 ± 0.03Accuracy
0.75 ± 0.03F1
0.62 ± 0.04MCC
  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