Table 1 Performance of each model for various age groups.

From: Accurate, non-destructive, and high-throughput age estimation for Golden perch (Macquaria ambigua spp.) using DNA methylation

Model

Age range (days)

Sample size

Pearson’s correlation

Median absolute error rate (days)

Median relative error

Universal

 < 100

19

0.96

5.1

0.20

Universal

 ≥ 100

62

0.97

108.9

0.13

Universal

 < 1000

45

0.97

11.9

0.17

Universal

1000–2000

19

0.72

113

0.078

Universal

2000–3000

10

0.72

330.6

0.14

Universal

 > 3000

7

0.79

464

0.14

Daily

 < 100

19

0.98

1.7

0.069

Daily

 ≥ 100

5

0.98

26

0.15

Annual

 < 1000

21

0.87

130

0.21

Annual

1000–2000

19

0.54

284

0.11

Annual

2000–3000

10

0.31

389

0.20

Annual

 > 3000

7

0.64

741

0.21

  1. The performance statistics are from the testing data sets.
  2. No statistical difference was found with the training data sets (t-test and KS-test).
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