Hugging Face's logo

Datasets:
Plashkar
/
diabetes-predict-db

Dataset card Viewer Files Community
autotrain-data-processor commited on
Commit
eb29fab
•
1 Parent(s): 4488627

Processed data from AutoTrain data processor ([2022-08-03 16:22 ]

Browse files
Files changed (8) hide show
  1. README.md +112 -0
  2. processed/dataset_dict.json +1 -0
  3. processed/train/dataset.arrow +3 -0
  4. processed/train/dataset_info.json +141 -0
  5. processed/train/state.json +37 -0
  6. processed/valid/dataset.arrow +3 -0
  7. processed/valid/dataset_info.json +141 -0
  8. processed/valid/state.json +37 -0
README.md ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ {}
3
+
4
+ ---
5
+ # AutoTrain Dataset for project: sample-diabetes-predict
6
+
7
+ ## Dataset Descritpion
8
+
9
+ This dataset has been automatically processed by AutoTrain for project sample-diabetes-predict.
10
+
11
+ ### Languages
12
+
13
+ The BCP-47 code for the dataset's language is unk.
14
+
15
+ ## Dataset Structure
16
+
17
+ ### Data Instances
18
+
19
+ A sample from this dataset looks as follows:
20
+
21
+ ```json
22
+ [
23
+ {
24
+ "target": 0,
25
+ "feat_HighBP": 0.0,
26
+ "feat_HighChol": 0.0,
27
+ "feat_CholCheck": 1.0,
28
+ "feat_BMI": 34.0,
29
+ "feat_Smoker": 1.0,
30
+ "feat_Stroke": 0.0,
31
+ "feat_HeartDiseaseorAttack": 0.0,
32
+ "feat_PhysActivity": 1.0,
33
+ "feat_Fruits": 1.0,
34
+ "feat_Veggies": 1.0,
35
+ "feat_HvyAlcoholConsump": 0.0,
36
+ "feat_AnyHealthcare": 1.0,
37
+ "feat_NoDocbcCost": 0.0,
38
+ "feat_GenHlth": 3.0,
39
+ "feat_MentHlth": 0.0,
40
+ "feat_PhysHlth": 0.0,
41
+ "feat_DiffWalk": 0.0,
42
+ "feat_Sex": 0.0,
43
+ "feat_Age": 6.0,
44
+ "feat_Education": 6.0,
45
+ "feat_Income": 7.0
46
+ },
47
+ {
48
+ "target": 1,
49
+ "feat_HighBP": 0.0,
50
+ "feat_HighChol": 0.0,
51
+ "feat_CholCheck": 1.0,
52
+ "feat_BMI": 46.0,
53
+ "feat_Smoker": 1.0,
54
+ "feat_Stroke": 0.0,
55
+ "feat_HeartDiseaseorAttack": 0.0,
56
+ "feat_PhysActivity": 1.0,
57
+ "feat_Fruits": 1.0,
58
+ "feat_Veggies": 1.0,
59
+ "feat_HvyAlcoholConsump": 0.0,
60
+ "feat_AnyHealthcare": 1.0,
61
+ "feat_NoDocbcCost": 0.0,
62
+ "feat_GenHlth": 2.0,
63
+ "feat_MentHlth": 1.0,
64
+ "feat_PhysHlth": 0.0,
65
+ "feat_DiffWalk": 0.0,
66
+ "feat_Sex": 1.0,
67
+ "feat_Age": 10.0,
68
+ "feat_Education": 6.0,
69
+ "feat_Income": 5.0
70
+ }
71
+ ]
72
+ ```
73
+
74
+ ### Dataset Fields
75
+
76
+ The dataset has the following fields (also called "features"):
77
+
78
+ ```json
79
+ {
80
+ "target": "ClassLabel(num_classes=2, names=['0.0', '1.0'], id=None)",
81
+ "feat_HighBP": "Value(dtype='float64', id=None)",
82
+ "feat_HighChol": "Value(dtype='float64', id=None)",
83
+ "feat_CholCheck": "Value(dtype='float64', id=None)",
84
+ "feat_BMI": "Value(dtype='float64', id=None)",
85
+ "feat_Smoker": "Value(dtype='float64', id=None)",
86
+ "feat_Stroke": "Value(dtype='float64', id=None)",
87
+ "feat_HeartDiseaseorAttack": "Value(dtype='float64', id=None)",
88
+ "feat_PhysActivity": "Value(dtype='float64', id=None)",
89
+ "feat_Fruits": "Value(dtype='float64', id=None)",
90
+ "feat_Veggies": "Value(dtype='float64', id=None)",
91
+ "feat_HvyAlcoholConsump": "Value(dtype='float64', id=None)",
92
+ "feat_AnyHealthcare": "Value(dtype='float64', id=None)",
93
+ "feat_NoDocbcCost": "Value(dtype='float64', id=None)",
94
+ "feat_GenHlth": "Value(dtype='float64', id=None)",
95
+ "feat_MentHlth": "Value(dtype='float64', id=None)",
96
+ "feat_PhysHlth": "Value(dtype='float64', id=None)",
97
+ "feat_DiffWalk": "Value(dtype='float64', id=None)",
98
+ "feat_Sex": "Value(dtype='float64', id=None)",
99
+ "feat_Age": "Value(dtype='float64', id=None)",
100
+ "feat_Education": "Value(dtype='float64', id=None)",
101
+ "feat_Income": "Value(dtype='float64', id=None)"
102
+ }
103
+ ```
104
+
105
+ ### Dataset Splits
106
+
107
+ This dataset is split into a train and validation split. The split sizes are as follow:
108
+
109
+ | Split name | Num samples |
110
+ | ------------ | ------------------- |
111
+ | train | 56552 |
112
+ | valid | 14140 |
processed/dataset_dict.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"splits": ["train", "valid"]}
processed/train/dataset.arrow ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b821ac4a75ab0c7bcb57b9c5021abd34e94f509fd266a5cdb9cacd1e69d30372
3
+ size 10021768
processed/train/dataset_info.json ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "builder_name": null,
3
+ "citation": "",
4
+ "config_name": null,
5
+ "dataset_size": null,
6
+ "description": "AutoTrain generated dataset",
7
+ "download_checksums": null,
8
+ "download_size": null,
9
+ "features": {
10
+ "target": {
11
+ "num_classes": 2,
12
+ "names": [
13
+ "0.0",
14
+ "1.0"
15
+ ],
16
+ "id": null,
17
+ "_type": "ClassLabel"
18
+ },
19
+ "feat_HighBP": {
20
+ "dtype": "float64",
21
+ "id": null,
22
+ "_type": "Value"
23
+ },
24
+ "feat_HighChol": {
25
+ "dtype": "float64",
26
+ "id": null,
27
+ "_type": "Value"
28
+ },
29
+ "feat_CholCheck": {
30
+ "dtype": "float64",
31
+ "id": null,
32
+ "_type": "Value"
33
+ },
34
+ "feat_BMI": {
35
+ "dtype": "float64",
36
+ "id": null,
37
+ "_type": "Value"
38
+ },
39
+ "feat_Smoker": {
40
+ "dtype": "float64",
41
+ "id": null,
42
+ "_type": "Value"
43
+ },
44
+ "feat_Stroke": {
45
+ "dtype": "float64",
46
+ "id": null,
47
+ "_type": "Value"
48
+ },
49
+ "feat_HeartDiseaseorAttack": {
50
+ "dtype": "float64",
51
+ "id": null,
52
+ "_type": "Value"
53
+ },
54
+ "feat_PhysActivity": {
55
+ "dtype": "float64",
56
+ "id": null,
57
+ "_type": "Value"
58
+ },
59
+ "feat_Fruits": {
60
+ "dtype": "float64",
61
+ "id": null,
62
+ "_type": "Value"
63
+ },
64
+ "feat_Veggies": {
65
+ "dtype": "float64",
66
+ "id": null,
67
+ "_type": "Value"
68
+ },
69
+ "feat_HvyAlcoholConsump": {
70
+ "dtype": "float64",
71
+ "id": null,
72
+ "_type": "Value"
73
+ },
74
+ "feat_AnyHealthcare": {
75
+ "dtype": "float64",
76
+ "id": null,
77
+ "_type": "Value"
78
+ },
79
+ "feat_NoDocbcCost": {
80
+ "dtype": "float64",
81
+ "id": null,
82
+ "_type": "Value"
83
+ },
84
+ "feat_GenHlth": {
85
+ "dtype": "float64",
86
+ "id": null,
87
+ "_type": "Value"
88
+ },
89
+ "feat_MentHlth": {
90
+ "dtype": "float64",
91
+ "id": null,
92
+ "_type": "Value"
93
+ },
94
+ "feat_PhysHlth": {
95
+ "dtype": "float64",
96
+ "id": null,
97
+ "_type": "Value"
98
+ },
99
+ "feat_DiffWalk": {
100
+ "dtype": "float64",
101
+ "id": null,
102
+ "_type": "Value"
103
+ },
104
+ "feat_Sex": {
105
+ "dtype": "float64",
106
+ "id": null,
107
+ "_type": "Value"
108
+ },
109
+ "feat_Age": {
110
+ "dtype": "float64",
111
+ "id": null,
112
+ "_type": "Value"
113
+ },
114
+ "feat_Education": {
115
+ "dtype": "float64",
116
+ "id": null,
117
+ "_type": "Value"
118
+ },
119
+ "feat_Income": {
120
+ "dtype": "float64",
121
+ "id": null,
122
+ "_type": "Value"
123
+ }
124
+ },
125
+ "homepage": "",
126
+ "license": "",
127
+ "post_processed": null,
128
+ "post_processing_size": null,
129
+ "size_in_bytes": null,
130
+ "splits": {
131
+ "train": {
132
+ "name": "train",
133
+ "num_bytes": 9953152,
134
+ "num_examples": 56552,
135
+ "dataset_name": null
136
+ }
137
+ },
138
+ "supervised_keys": null,
139
+ "task_templates": null,
140
+ "version": null
141
+ }
processed/train/state.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_data_files": [
3
+ {
4
+ "filename": "dataset.arrow"
5
+ }
6
+ ],
7
+ "_fingerprint": "8b9e5f2e307c548a",
8
+ "_format_columns": [
9
+ "feat_Age",
10
+ "feat_AnyHealthcare",
11
+ "feat_BMI",
12
+ "feat_CholCheck",
13
+ "feat_DiffWalk",
14
+ "feat_Education",
15
+ "feat_Fruits",
16
+ "feat_GenHlth",
17
+ "feat_HeartDiseaseorAttack",
18
+ "feat_HighBP",
19
+ "feat_HighChol",
20
+ "feat_HvyAlcoholConsump",
21
+ "feat_Income",
22
+ "feat_MentHlth",
23
+ "feat_NoDocbcCost",
24
+ "feat_PhysActivity",
25
+ "feat_PhysHlth",
26
+ "feat_Sex",
27
+ "feat_Smoker",
28
+ "feat_Stroke",
29
+ "feat_Veggies",
30
+ "target"
31
+ ],
32
+ "_format_kwargs": {},
33
+ "_format_type": null,
34
+ "_indexes": {},
35
+ "_output_all_columns": false,
36
+ "_split": null
37
+ }
processed/valid/dataset.arrow ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3b07b9f3cae4dd2e4acd3643a5e31acef9e874303f70388c2511be03c6ff0c1
3
+ size 2508872
processed/valid/dataset_info.json ADDED
@@ -0,0 +1,141 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "builder_name": null,
3
+ "citation": "",
4
+ "config_name": null,
5
+ "dataset_size": null,
6
+ "description": "AutoTrain generated dataset",
7
+ "download_checksums": null,
8
+ "download_size": null,
9
+ "features": {
10
+ "target": {
11
+ "num_classes": 2,
12
+ "names": [
13
+ "0.0",
14
+ "1.0"
15
+ ],
16
+ "id": null,
17
+ "_type": "ClassLabel"
18
+ },
19
+ "feat_HighBP": {
20
+ "dtype": "float64",
21
+ "id": null,
22
+ "_type": "Value"
23
+ },
24
+ "feat_HighChol": {
25
+ "dtype": "float64",
26
+ "id": null,
27
+ "_type": "Value"
28
+ },
29
+ "feat_CholCheck": {
30
+ "dtype": "float64",
31
+ "id": null,
32
+ "_type": "Value"
33
+ },
34
+ "feat_BMI": {
35
+ "dtype": "float64",
36
+ "id": null,
37
+ "_type": "Value"
38
+ },
39
+ "feat_Smoker": {
40
+ "dtype": "float64",
41
+ "id": null,
42
+ "_type": "Value"
43
+ },
44
+ "feat_Stroke": {
45
+ "dtype": "float64",
46
+ "id": null,
47
+ "_type": "Value"
48
+ },
49
+ "feat_HeartDiseaseorAttack": {
50
+ "dtype": "float64",
51
+ "id": null,
52
+ "_type": "Value"
53
+ },
54
+ "feat_PhysActivity": {
55
+ "dtype": "float64",
56
+ "id": null,
57
+ "_type": "Value"
58
+ },
59
+ "feat_Fruits": {
60
+ "dtype": "float64",
61
+ "id": null,
62
+ "_type": "Value"
63
+ },
64
+ "feat_Veggies": {
65
+ "dtype": "float64",
66
+ "id": null,
67
+ "_type": "Value"
68
+ },
69
+ "feat_HvyAlcoholConsump": {
70
+ "dtype": "float64",
71
+ "id": null,
72
+ "_type": "Value"
73
+ },
74
+ "feat_AnyHealthcare": {
75
+ "dtype": "float64",
76
+ "id": null,
77
+ "_type": "Value"
78
+ },
79
+ "feat_NoDocbcCost": {
80
+ "dtype": "float64",
81
+ "id": null,
82
+ "_type": "Value"
83
+ },
84
+ "feat_GenHlth": {
85
+ "dtype": "float64",
86
+ "id": null,
87
+ "_type": "Value"
88
+ },
89
+ "feat_MentHlth": {
90
+ "dtype": "float64",
91
+ "id": null,
92
+ "_type": "Value"
93
+ },
94
+ "feat_PhysHlth": {
95
+ "dtype": "float64",
96
+ "id": null,
97
+ "_type": "Value"
98
+ },
99
+ "feat_DiffWalk": {
100
+ "dtype": "float64",
101
+ "id": null,
102
+ "_type": "Value"
103
+ },
104
+ "feat_Sex": {
105
+ "dtype": "float64",
106
+ "id": null,
107
+ "_type": "Value"
108
+ },
109
+ "feat_Age": {
110
+ "dtype": "float64",
111
+ "id": null,
112
+ "_type": "Value"
113
+ },
114
+ "feat_Education": {
115
+ "dtype": "float64",
116
+ "id": null,
117
+ "_type": "Value"
118
+ },
119
+ "feat_Income": {
120
+ "dtype": "float64",
121
+ "id": null,
122
+ "_type": "Value"
123
+ }
124
+ },
125
+ "homepage": "",
126
+ "license": "",
127
+ "post_processed": null,
128
+ "post_processing_size": null,
129
+ "size_in_bytes": null,
130
+ "splits": {
131
+ "valid": {
132
+ "name": "valid",
133
+ "num_bytes": 2488640,
134
+ "num_examples": 14140,
135
+ "dataset_name": null
136
+ }
137
+ },
138
+ "supervised_keys": null,
139
+ "task_templates": null,
140
+ "version": null
141
+ }
processed/valid/state.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_data_files": [
3
+ {
4
+ "filename": "dataset.arrow"
5
+ }
6
+ ],
7
+ "_fingerprint": "6c9fc28155c8f0fb",
8
+ "_format_columns": [
9
+ "feat_Age",
10
+ "feat_AnyHealthcare",
11
+ "feat_BMI",
12
+ "feat_CholCheck",
13
+ "feat_DiffWalk",
14
+ "feat_Education",
15
+ "feat_Fruits",
16
+ "feat_GenHlth",
17
+ "feat_HeartDiseaseorAttack",
18
+ "feat_HighBP",
19
+ "feat_HighChol",
20
+ "feat_HvyAlcoholConsump",
21
+ "feat_Income",
22
+ "feat_MentHlth",
23
+ "feat_NoDocbcCost",
24
+ "feat_PhysActivity",
25
+ "feat_PhysHlth",
26
+ "feat_Sex",
27
+ "feat_Smoker",
28
+ "feat_Stroke",
29
+ "feat_Veggies",
30
+ "target"
31
+ ],
32
+ "_format_kwargs": {},
33
+ "_format_type": null,
34
+ "_indexes": {},
35
+ "_output_all_columns": false,
36
+ "_split": null
37
+ }