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Table 6 Classification of pre-processed models on the basis of edge detection

From: Activity landscape image analysis using convolutional neural networks

Collection

RF

SVM

Metric

Canny

Sobel

Canny

Sobel

1

0.48 ± 0.00

0.50 ± 0.01

0.52 ± 0.01

0.57 ± 0.01

Accuracy

0.48 ± 0.01

0.50 ± 0.01

0.52 ± 0.01

0.58 ± 0.01

F1

0.23 ± 0.01

0.26 ± 0.01

0.28 ± 0.02

0.36 ± 0.02

MCC

2

0.44 ± 0.01

0.50 ± 0.01

0.50 ± 0.02

0.56 ± 0.01

Accuracy

0.45 ± 0.01

0.50 ± 0.01

0.50 ± 0.02

0.56 ± 0.01

F1

0.16 ± 0.02

0.25 ± 0.02

0.25 ± 0.02

0.34 ± 0.02

MCC

3

0.45 ± 0.01

0.49 ± 0.02

0.51 ± 0.02

0.56 ± 0.01

Accuracy

0.46 ± 0.01

0.49 ± 0.02

0.52 ± 0.02

0.57 ± 0.01

F1

0.18 ± 0.01

0.24 ± 0.02

0.27 ± 0.03

0.35 ± 0.02

MCC

4

0.43 ± 0.01

0.54 ± 0.03

0.53 ± 0.04

0.60 ± 0.03

Accuracy

0.44 ± 0.02

0.54 ± 0.03

0.54 ± 0.04

0.60 ± 0.03

F1

0.16 ± 0.02

0.31 ± 0.05

0.30 ± 0.06

0.40 ± 0.04

MCC

5

0.44 ± 0.02

0.50 ± 0.02

0.47 ± 0.03

0.55 ± 0.02

Accuracy

0.44 ± 0.02

0.51 ± 0.02

0.49 ± 0.03

0.57 ± 0.02

F1

0.16 ± 0.03

0.26 ± 0.04

0.21 ± 0.05

0.33 ± 0.03

MCC

6

0.42 ± 0.01

0.50 ± 0.02

0.52 ± 0.03

0.56 ± 0.02

Accuracy

0.42 ± 0.01

0.51 ± 0.03

0.52 ± 0.02

0.58 ± 0.02

F1

0.13 ± 0.02

0.25 ± 0.04

0.28 ± 0.04

0.35 ± 0.03

MCC

7

0.61 ± 0.01

0.66 ± 0.03

0.73 ± 0.02

0.74 ± 0.01

Accuracy

0.63 ± 0.01

0.66 ± 0.03

0.73 ± 0.02

0.74 ± 0.01

F1

0.42 ± 0.02

0.50 ± 0.04

0.59 ± 0.03

0.61 ± 0.01

MCC