fixed_acidity (float64)volatile_acidity (float64)citric_acid (float64)residual_sugar (float64)chlorides (float64)free_sulfur_dioxide (float64)total_sulfur_dioxide (float64)density (float64)pH (float64)sulphates (float64)alcohol (float64)quality (int8)is_red (class label)
7.4
0.7
0
1.9
0.076
11
34
0.9978
3.51
0.56
9.4
5
0 (red)
7.8
0.88
0
2.6
0.098
25
67
0.9968
3.2
0.68
9.8
5
0 (red)
7.8
0.76
0.04
2.3
0.092
15
54
0.997
3.26
0.65
9.8
5
0 (red)
11.2
0.28
0.56
1.9
0.075
17
60
0.998
3.16
0.58
9.8
6
0 (red)
7.4
0.7
0
1.9
0.076
11
34
0.9978
3.51
0.56
9.4
5
0 (red)
7.4
0.66
0
1.8
0.075
13
40
0.9978
3.51
0.56
9.4
5
0 (red)
7.9
0.6
0.06
1.6
0.069
15
59
0.9964
3.3
0.46
9.4
5
0 (red)
7.3
0.65
0
1.2
0.065
15
21
0.9946
3.39
0.47
10
7
0 (red)
7.8
0.58
0.02
2
0.073
9
18
0.9968
3.36
0.57
9.5
7
0 (red)
7.5
0.5
0.36
6.1
0.071
17
102
0.9978
3.35
0.8
10.5
5
0 (red)
6.7
0.58
0.08
1.8
0.097
15
65
0.9959
3.28
0.54
9.2
5
0 (red)
7.5
0.5
0.36
6.1
0.071
17
102
0.9978
3.35
0.8
10.5
5
0 (red)
5.6
0.615
0
1.6
0.089
16
59
0.9943
3.58
0.52
9.9
5
0 (red)
7.8
0.61
0.29
1.6
0.114
9
29
0.9974
3.26
1.56
9.1
5
0 (red)
8.9
0.62
0.18
3.8
0.176
52
145
0.9986
3.16
0.88
9.2
5
0 (red)
8.9
0.62
0.19
3.9
0.17
51
148
0.9986
3.17
0.93
9.2
5
0 (red)
8.5
0.28
0.56
1.8
0.092
35
103
0.9969
3.3
0.75
10.5
7
0 (red)
8.1
0.56
0.28
1.7
0.368
16
56
0.9968
3.11
1.28
9.3
5
0 (red)
7.4
0.59
0.08
4.4
0.086
6
29
0.9974
3.38
0.5
9
4
0 (red)
7.9
0.32
0.51
1.8
0.341
17
56
0.9969
3.04
1.08
9.2
6
0 (red)
8.9
0.22
0.48
1.8
0.077
29
60
0.9968
3.39
0.53
9.4
6
0 (red)
7.6
0.39
0.31
2.3
0.082
23
71
0.9982
3.52
0.65
9.7
5
0 (red)
7.9
0.43
0.21
1.6
0.106
10
37
0.9966
3.17
0.91
9.5
5
0 (red)
8.5
0.49
0.11
2.3
0.084
9
67
0.9968
3.17
0.53
9.4
5
0 (red)
6.9
0.4
0.14
2.4
0.085
21
40
0.9968
3.43
0.63
9.7
6
0 (red)
6.3
0.39
0.16
1.4
0.08
11
23
0.9955
3.34
0.56
9.3
5
0 (red)
7.6
0.41
0.24
1.8
0.08
4
11
0.9962
3.28
0.59
9.5
5
0 (red)
7.9
0.43
0.21
1.6
0.106
10
37
0.9966
3.17
0.91
9.5
5
0 (red)
7.1
0.71
0
1.9
0.08
14
35
0.9972
3.47
0.55
9.4
5
0 (red)
7.8
0.645
0
2
0.082
8
16
0.9964
3.38
0.59
9.8
6
0 (red)
6.7
0.675
0.07
2.4
0.089
17
82
0.9958
3.35
0.54
10.1
5
0 (red)
6.9
0.685
0
2.5
0.105
22
37
0.9966
3.46
0.57
10.6
6
0 (red)
8.3
0.655
0.12
2.3
0.083
15
113
0.9966
3.17
0.66
9.8
5
0 (red)
6.9
0.605
0.12
10.7
0.073
40
83
0.9993
3.45
0.52
9.4
6
0 (red)
5.2
0.32
0.25
1.8
0.103
13
50
0.9957
3.38
0.55
9.2
5
0 (red)
7.8
0.645
0
5.5
0.086
5
18
0.9986
3.4
0.55
9.6
6
0 (red)
7.8
0.6
0.14
2.4
0.086
3
15
0.9975
3.42
0.6
10.8
6
0 (red)
8.1
0.38
0.28
2.1
0.066
13
30
0.9968
3.23
0.73
9.7
7
0 (red)
5.7
1.13
0.09
1.5
0.172
7
19
0.994
3.5
0.48
9.8
4
0 (red)
7.3
0.45
0.36
5.9
0.074
12
87
0.9978
3.33
0.83
10.5
5
0 (red)
7.3
0.45
0.36
5.9
0.074
12
87
0.9978
3.33
0.83
10.5
5
0 (red)
8.8
0.61
0.3
2.8
0.088
17
46
0.9976
3.26
0.51
9.3
4
0 (red)
7.5
0.49
0.2
2.6
0.332
8
14
0.9968
3.21
0.9
10.5
6
0 (red)
8.1
0.66
0.22
2.2
0.069
9
23
0.9968
3.3
1.2
10.3
5
0 (red)
6.8
0.67
0.02
1.8
0.05
5
11
0.9962
3.48
0.52
9.5
5
0 (red)
4.6
0.52
0.15
2.1
0.054
8
65
0.9934
3.9
0.56
13.1
4
0 (red)
7.7
0.935
0.43
2.2
0.114
22
114
0.997
3.25
0.73
9.2
5
0 (red)
8.7
0.29
0.52
1.6
0.113
12
37
0.9969
3.25
0.58
9.5
5
0 (red)
6.4
0.4
0.23
1.6
0.066
5
12
0.9958
3.34
0.56
9.2
5
0 (red)
5.6
0.31
0.37
1.4
0.074
12
96
0.9954
3.32
0.58
9.2
5
0 (red)
8.8
0.66
0.26
1.7
0.074
4
23
0.9971
3.15
0.74
9.2
5
0 (red)
6.6
0.52
0.04
2.2
0.069
8
15
0.9956
3.4
0.63
9.4
6
0 (red)
6.6
0.5
0.04
2.1
0.068
6
14
0.9955
3.39
0.64
9.4
6
0 (red)
8.6
0.38
0.36
3
0.081
30
119
0.997
3.2
0.56
9.4
5
0 (red)
7.6
0.51
0.15
2.8
0.11
33
73
0.9955
3.17
0.63
10.2
6
0 (red)
7.7
0.62
0.04
3.8
0.084
25
45
0.9978
3.34
0.53
9.5
5
0 (red)
10.2
0.42
0.57
3.4
0.07
4
10
0.9971
3.04
0.63
9.6
5
0 (red)
7.5
0.63
0.12
5.1
0.111
50
110
0.9983
3.26
0.77
9.4
5
0 (red)
7.8
0.59
0.18
2.3
0.076
17
54
0.9975
3.43
0.59
10
5
0 (red)
7.3
0.39
0.31
2.4
0.074
9
46
0.9962
3.41
0.54
9.4
6
0 (red)
8.8
0.4
0.4
2.2
0.079
19
52
0.998
3.44
0.64
9.2
5
0 (red)
7.7
0.69
0.49
1.8
0.115
20
112
0.9968
3.21
0.71
9.3
5
0 (red)
7.5
0.52
0.16
1.9
0.085
12
35
0.9968
3.38
0.62
9.5
7
0 (red)
7
0.735
0.05
2
0.081
13
54
0.9966
3.39
0.57
9.8
5
0 (red)
7.2
0.725
0.05
4.65
0.086
4
11
0.9962
3.41
0.39
10.9
5
0 (red)
7.2
0.725
0.05
4.65
0.086
4
11
0.9962
3.41
0.39
10.9
5
0 (red)
7.5
0.52
0.11
1.5
0.079
11
39
0.9968
3.42
0.58
9.6
5
0 (red)
6.6
0.705
0.07
1.6
0.076
6
15
0.9962
3.44
0.58
10.7
5
0 (red)
9.3
0.32
0.57
2
0.074
27
65
0.9969
3.28
0.79
10.7
5
0 (red)
8
0.705
0.05
1.9
0.074
8
19
0.9962
3.34
0.95
10.5
6
0 (red)
7.7
0.63
0.08
1.9
0.076
15
27
0.9967
3.32
0.54
9.5
6
0 (red)
7.7
0.67
0.23
2.1
0.088
17
96
0.9962
3.32
0.48
9.5
5
0 (red)
7.7
0.69
0.22
1.9
0.084
18
94
0.9961
3.31
0.48
9.5
5
0 (red)
8.3
0.675
0.26
2.1
0.084
11
43
0.9976
3.31
0.53
9.2
4
0 (red)
9.7
0.32
0.54
2.5
0.094
28
83
0.9984
3.28
0.82
9.6
5
0 (red)
8.8
0.41
0.64
2.2
0.093
9
42
0.9986
3.54
0.66
10.5
5
0 (red)
8.8
0.41
0.64
2.2
0.093
9
42
0.9986
3.54
0.66
10.5
5
0 (red)
6.8
0.785
0
2.4
0.104
14
30
0.9966
3.52
0.55
10.7
6
0 (red)
6.7
0.75
0.12
2
0.086
12
80
0.9958
3.38
0.52
10.1
5
0 (red)
8.3
0.625
0.2
1.5
0.08
27
119
0.9972
3.16
1.12
9.1
4
0 (red)
6.2
0.45
0.2
1.6
0.069
3
15
0.9958
3.41
0.56
9.2
5
0 (red)
7.8
0.43
0.7
1.9
0.464
22
67
0.9974
3.13
1.28
9.4
5
0 (red)
7.4
0.5
0.47
2
0.086
21
73
0.997
3.36
0.57
9.1
5
0 (red)
7.3
0.67
0.26
1.8
0.401
16
51
0.9969
3.16
1.14
9.4
5
0 (red)
6.3
0.3
0.48
1.8
0.069
18
61
0.9959
3.44
0.78
10.3
6
0 (red)
6.9
0.55
0.15
2.2
0.076
19
40
0.9961
3.41
0.59
10.1
5
0 (red)
8.6
0.49
0.28
1.9
0.11
20
136
0.9972
2.93
1.95
9.9
6
0 (red)
7.7
0.49
0.26
1.9
0.062
9
31
0.9966
3.39
0.64
9.6
5
0 (red)
9.3
0.39
0.44
2.1
0.107
34
125
0.9978
3.14
1.22
9.5
5
0 (red)
7
0.62
0.08
1.8
0.076
8
24
0.9978
3.48
0.53
9
5
0 (red)
7.9
0.52
0.26
1.9
0.079
42
140
0.9964
3.23
0.54
9.5
5
0 (red)
8.6
0.49
0.28
1.9
0.11
20
136
0.9972
2.93
1.95
9.9
6
0 (red)
8.6
0.49
0.29
2
0.11
19
133
0.9972
2.93
1.98
9.8
5
0 (red)
7.7
0.49
0.26
1.9
0.062
9
31
0.9966
3.39
0.64
9.6
5
0 (red)
5
1.02
0.04
1.4
0.045
41
85
0.9938
3.75
0.48
10.5
4
0 (red)
4.7
0.6
0.17
2.3
0.058
17
106
0.9932
3.85
0.6
12.9
6
0 (red)
6.8
0.775
0
3
0.102
8
23
0.9965
3.45
0.56
10.7
5
0 (red)
7
0.5
0.25
2
0.07
3
22
0.9963
3.25
0.63
9.2
5
0 (red)
7.6
0.9
0.06
2.5
0.079
5
10
0.9967
3.39
0.56
9.8
5
0 (red)
8.1
0.545
0.18
1.9
0.08
13
35
0.9972
3.3
0.59
9
6
0 (red)
YAML Metadata Error: "configs[0]" must be of type object

Wine

The Wine dataset from Kaggle. Classify wine as red or white.

Configurations and tasks

Configuration Task Description
wine Binary classification Is this red wine?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/wine")["train"]
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