Table 5 Descriptive statistics of “bad quality” win.

From: Machine learning-based predictive modelling for the enhancement of wine quality

Index

Fixed acidity

Volatile acidity

Citric acid

Residual sugar

Chlorides

Free sulfur dioxide

Total sulfur dioxide

Density

Ph

Sulphates

Alcohol

Quality

Good quality

Count

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

1382.0

Mean

8.2368

0.5470

0.2544

2.5121

0.08928

16.1722

48.2858

0.9968

3.3146

0.6447

10.2510

5.4088

0.0

Std

1.6827

0.1763

0.1896

1.4157

0.04911

10.4676

32.5856

0.0018

0.1541

0.1706

0.9696

0.6017

0.0

Min

4.6

0.16

0.0

0.9

0.034

1.0

6.0

0.990

2.74

0.33

8.4

3.0

0.0

25%

7.1

0.42

0.0825

1.9

0.071

8.0

23.0

0.9957

3.21

0.54

9.5

5.0

0.0

50%

7.8

0.54

0.24

2.2

0.08

14.0

39.5

0.9968

3.31

0.6

10.0

5.0

0.0

75%

9.1

0.65

0.4

2.6

0.091

22.0

65.0

0.9979

3.41

0.7

10.9

6.0

0.0

Max

15.9

1.58

1.0

15.5

0.611

72.0

165.0

1.0036

4.01

2.0

14.9

6.0

0.0