Skip to main content

Table 4 Classification of models trained on grayscale images

From: Activity landscape image analysis using convolutional neural networks

Collection

RF

SVM

CNN

Metric

1

0.57 ± 0.01

0.53 ± 0.01

0.71 ± 0.02

Accuracy

0.57 ± 0.01

0.54 ± 0.01

0.71 ± 0.02

F1

0.35 ± 0.01

0.30 ± 0.01

0.56 ± 0.03

MCC

2

0.54 ± 0.01

0.53 ± 0.01

0.70 ± 0.03

Accuracy

0.55 ± 0.01

0.54 ± 0.01

0.70 ± 0.03

F1

0.32 ± 0.02

0.29 ± 0.02

0.55 ± 0.04

MCC

3

0.55 ± 0.02

0.53 ± 0.01

0.70 ± 0.03

Accuracy

0.56 ± 0.01

0.54 ± 0.02

0.70 ± 0.03

F1

0.33 ± 0.02

0.30 ± 0.02

0.55 ± 0.04

MCC

4

0.54 ± 0.02

0.57 ± 0.03

0.67 ± 0.03

Accuracy

0.54 ± 0.02

0.58 ± 0.04

0.67 ± 0.03

F1

0.31 ± 0.03

0.36 ± 0.05

0.51 ± 0.05

MCC

5

0.55 ± 0.03

0.50 ± 0.01

0.68 ± 0.02

Accuracy

0.56 ± 0.03

0.51 ± 0.02

0.68 ± 0.02

F1

0.33 ± 0.04

0.25 ± 0.02

0.52 ± 0.03

MCC

6

0.58 ± 0.01

0.53 ± 0.02

0.72 ± 0.03

Accuracy

0.58 ± 0.02

0.55 ± 0.02

0.72 ± 0.03

F1

0.37 ± 0.02

0.30 ± 0.03

0.59 ± 0.04

MCC

7

0.69 ± 0.02

0.68 ± 0.01

0.74 ± 0.04

Accuracy

0.69 ± 0.02

0.68 ± 0.01

0.74 ± 0.04

F1

0.53 ± 0.03

0.52 ± 0.02

0.62 ± 0.06

MCC

  1. The table summarizes classification performance for color-coded 3D AL and Ref-AL images using RF, SVM, and CNN models trained on grayscale images. All values reported are averages and standard deviations over 10 independent trials