Table 11 Descriptive statistics of animal, dietary and nitrogen utilization variables in the present study.

From: Can machine learning algorithms perform better than multiple linear regression in predicting nitrogen excretion from lactating dairy cows

Features1

Unit3

Abbreviation

Training dataset

Test dataset

Mean

SD2

Minimum

Maximum

Mean

SD2

Minimum

Maximum

Live weight

kg

LW

564

65.3

385

781

549

70.1

379

757

Milk yield

kg/d

MY

21.4

6.61

6.10

49.1

23.6

7.16

5.87

48.8

Energy-corrected milk yield

kg/d

ECMY

21.8

6.70

5.53

45.6

24.0

6.50

5.10

49.5

Forage DMI

kg/d

FDMI

9.33

2.79

2.96

18.9

10.0

2.80

3.60

16.8

Concentrate DMI

kg/d

CDMI

7.08

3.51

0

16.9

8.18

2.99

3.21

16.0

Total DMI

kg/d

TDMI

16.4

3.02

7.54

24.3

18.2

2.92

10.8

26.6

Forage proportion

kg/kg DM

FP

0.58

0.183

0.21

1.00

0.55

0.142

0.31

0.79

Diet N concentration

g/kg DM

DNC

29.3

4.15

17.0

43.3

27.8

4.02

18.0

43.0

Diet ME concentration

MJ/kg DM

DMEC

12.1

0.92

9.89

19.1

12.1

0.82

9.68

14.1

N intake

g/d

NI

486

129.6

155

874

506

106.6

228

798

Feces N output

g/d

FN

142

36.1

48.4

241

159

32.9

73.7

284

Urine N output

g/d

UN

209

69.1

69.6

452

178

61.4

44.7

364

Manure N output

g/d

MN

351

97.7

130

679

337

77.1

159

577

  1. 1DMI dry matter intake; ME metabolizable energy; N nitrogen.
  2. 2standard deviation.
  3. 3DM dry matter.