Hugging Face's logo

Datasets:
Redsmoothy
/
HR_Attrition

Modalities:
Tabular
Text
Formats:
csv
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
Dataset Viewer
Auto-converted to Parquet
Age
int64
18
60
Attrition
stringclasses
2 values
BusinessTravel
stringclasses
3 values
DailyRate
int64
102
1.5k
Department
stringclasses
3 values
DistanceFromHome
int64
1
29
Education
int64
1
5
EducationField
stringclasses
6 values
EmployeeCount
int64
1
1
EmployeeNumber
int64
1
2.07k
EnvironmentSatisfaction
int64
1
4
Gender
stringclasses
2 values
HourlyRate
int64
30
100
JobInvolvement
int64
1
4
JobLevel
int64
1
5
JobRole
stringclasses
9 values
JobSatisfaction
int64
1
4
MaritalStatus
stringclasses
3 values
MonthlyIncome
int64
1.01k
20k
MonthlyRate
int64
2.09k
27k
NumCompaniesWorked
int64
0
9
Over18
stringclasses
1 value
OverTime
stringclasses
2 values
PercentSalaryHike
int64
11
25
PerformanceRating
int64
3
4
RelationshipSatisfaction
int64
1
4
StandardHours
int64
80
80
StockOptionLevel
int64
0
3
TotalWorkingYears
int64
0
40
TrainingTimesLastYear
int64
0
6
WorkLifeBalance
int64
1
4
YearsAtCompany
int64
0
40
YearsInCurrentRole
int64
0
18
YearsSinceLastPromotion
int64
0
15
YearsWithCurrManager
int64
0
17
41
Yes
Travel_Rarely
1,102
Sales
1
2
Life Sciences
1
1
2
Female
94
3
2
Sales Executive
4
Single
5,993
19,479
8
Y
Yes
11
3
1
80
0
8
0
1
6
4
0
5
49
No
Travel_Frequently
279
Research & Development
8
1
Life Sciences
1
2
3
Male
61
2
2
Research Scientist
2
Married
5,130
24,907
1
Y
No
23
4
4
80
1
10
3
3
10
7
1
7
37
Yes
Travel_Rarely
1,373
Research & Development
2
2
Other
1
4
4
Male
92
2
1
Laboratory Technician
3
Single
2,090
2,396
6
Y
Yes
15
3
2
80
0
7
3
3
0
0
0
0
33
No
Travel_Frequently
1,392
Research & Development
3
4
Life Sciences
1
5
4
Female
56
3
1
Research Scientist
3
Married
2,909
23,159
1
Y
Yes
11
3
3
80
0
8
3
3
8
7
3
0
27
No
Travel_Rarely
591
Research & Development
2
1
Medical
1
7
1
Male
40
3
1
Laboratory Technician
2
Married
3,468
16,632
9
Y
No
12
3
4
80
1
6
3
3
2
2
2
2
32
No
Travel_Frequently
1,005
Research & Development
2
2
Life Sciences
1
8
4
Male
79
3
1
Laboratory Technician
4
Single
3,068
11,864
0
Y
No
13
3
3
80
0
8
2
2
7
7
3
6
59
No
Travel_Rarely
1,324
Research & Development
3
3
Medical
1
10
3
Female
81
4
1
Laboratory Technician
1
Married
2,670
9,964
4
Y
Yes
20
4
1
80
3
12
3
2
1
0
0
0
30
No
Travel_Rarely
1,358
Research & Development
24
1
Life Sciences
1
11
4
Male
67
3
1
Laboratory Technician
3
Divorced
2,693
13,335
1
Y
No
22
4
2
80
1
1
2
3
1
0
0
0
38
No
Travel_Frequently
216
Research & Development
23
3
Life Sciences
1
12
4
Male
44
2
3
Manufacturing Director
3
Single
9,526
8,787
0
Y
No
21
4
2
80
0
10
2
3
9
7
1
8
36
No
Travel_Rarely
1,299
Research & Development
27
3
Medical
1
13
3
Male
94
3
2
Healthcare Representative
3
Married
5,237
16,577
6
Y
No
13
3
2
80
2
17
3
2
7
7
7
7
35
No
Travel_Rarely
809
Research & Development
16
3
Medical
1
14
1
Male
84
4
1
Laboratory Technician
2
Married
2,426
16,479
0
Y
No
13
3
3
80
1
6
5
3
5
4
0
3
29
No
Travel_Rarely
153
Research & Development
15
2
Life Sciences
1
15
4
Female
49
2
2
Laboratory Technician
3
Single
4,193
12,682
0
Y
Yes
12
3
4
80
0
10
3
3
9
5
0
8
31
No
Travel_Rarely
670
Research & Development
26
1
Life Sciences
1
16
1
Male
31
3
1
Research Scientist
3
Divorced
2,911
15,170
1
Y
No
17
3
4
80
1
5
1
2
5
2
4
3
34
No
Travel_Rarely
1,346
Research & Development
19
2
Medical
1
18
2
Male
93
3
1
Laboratory Technician
4
Divorced
2,661
8,758
0
Y
No
11
3
3
80
1
3
2
3
2
2
1
2
28
Yes
Travel_Rarely
103
Research & Development
24
3
Life Sciences
1
19
3
Male
50
2
1
Laboratory Technician
3
Single
2,028
12,947
5
Y
Yes
14
3
2
80
0
6
4
3
4
2
0
3
29
No
Travel_Rarely
1,389
Research & Development
21
4
Life Sciences
1
20
2
Female
51
4
3
Manufacturing Director
1
Divorced
9,980
10,195
1
Y
No
11
3
3
80
1
10
1
3
10
9
8
8
32
No
Travel_Rarely
334
Research & Development
5
2
Life Sciences
1
21
1
Male
80
4
1
Research Scientist
2
Divorced
3,298
15,053
0
Y
Yes
12
3
4
80
2
7
5
2
6
2
0
5
22
No
Non-Travel
1,123
Research & Development
16
2
Medical
1
22
4
Male
96
4
1
Laboratory Technician
4
Divorced
2,935
7,324
1
Y
Yes
13
3
2
80
2
1
2
2
1
0
0
0
53
No
Travel_Rarely
1,219
Sales
2
4
Life Sciences
1
23
1
Female
78
2
4
Manager
4
Married
15,427
22,021
2
Y
No
16
3
3
80
0
31
3
3
25
8
3
7
38
No
Travel_Rarely
371
Research & Development
2
3
Life Sciences
1
24
4
Male
45
3
1
Research Scientist
4
Single
3,944
4,306
5
Y
Yes
11
3
3
80
0
6
3
3
3
2
1
2
24
No
Non-Travel
673
Research & Development
11
2
Other
1
26
1
Female
96
4
2
Manufacturing Director
3
Divorced
4,011
8,232
0
Y
No
18
3
4
80
1
5
5
2
4
2
1
3
36
Yes
Travel_Rarely
1,218
Sales
9
4
Life Sciences
1
27
3
Male
82
2
1
Sales Representative
1
Single
3,407
6,986
7
Y
No
23
4
2
80
0
10
4
3
5
3
0
3
34
No
Travel_Rarely
419
Research & Development
7
4
Life Sciences
1
28
1
Female
53
3
3
Research Director
2
Single
11,994
21,293
0
Y
No
11
3
3
80
0
13
4
3
12
6
2
11
21
No
Travel_Rarely
391
Research & Development
15
2
Life Sciences
1
30
3
Male
96
3
1
Research Scientist
4
Single
1,232
19,281
1
Y
No
14
3
4
80
0
0
6
3
0
0
0
0
34
Yes
Travel_Rarely
699
Research & Development
6
1
Medical
1
31
2
Male
83
3
1
Research Scientist
1
Single
2,960
17,102
2
Y
No
11
3
3
80
0
8
2
3
4
2
1
3
53
No
Travel_Rarely
1,282
Research & Development
5
3
Other
1
32
3
Female
58
3
5
Manager
3
Divorced
19,094
10,735
4
Y
No
11
3
4
80
1
26
3
2
14
13
4
8
32
Yes
Travel_Frequently
1,125
Research & Development
16
1
Life Sciences
1
33
2
Female
72
1
1
Research Scientist
1
Single
3,919
4,681
1
Y
Yes
22
4
2
80
0
10
5
3
10
2
6
7
42
No
Travel_Rarely
691
Sales
8
4
Marketing
1
35
3
Male
48
3
2
Sales Executive
2
Married
6,825
21,173
0
Y
No
11
3
4
80
1
10
2
3
9
7
4
2
44
No
Travel_Rarely
477
Research & Development
7
4
Medical
1
36
1
Female
42
2
3
Healthcare Representative
4
Married
10,248
2,094
3
Y
No
14
3
4
80
1
24
4
3
22
6
5
17
46
No
Travel_Rarely
705
Sales
2
4
Marketing
1
38
2
Female
83
3
5
Manager
1
Single
18,947
22,822
3
Y
No
12
3
4
80
0
22
2
2
2
2
2
1
33
No
Travel_Rarely
924
Research & Development
2
3
Medical
1
39
3
Male
78
3
1
Laboratory Technician
4
Single
2,496
6,670
4
Y
No
11
3
4
80
0
7
3
3
1
1
0
0
44
No
Travel_Rarely
1,459
Research & Development
10
4
Other
1
40
4
Male
41
3
2
Healthcare Representative
4
Married
6,465
19,121
2
Y
Yes
13
3
4
80
0
9
5
4
4
2
1
3
30
No
Travel_Rarely
125
Research & Development
9
2
Medical
1
41
4
Male
83
2
1
Laboratory Technician
3
Single
2,206
16,117
1
Y
No
13
3
1
80
0
10
5
3
10
0
1
8
39
Yes
Travel_Rarely
895
Sales
5
3
Technical Degree
1
42
4
Male
56
3
2
Sales Representative
4
Married
2,086
3,335
3
Y
No
14
3
3
80
1
19
6
4
1
0
0
0
24
Yes
Travel_Rarely
813
Research & Development
1
3
Medical
1
45
2
Male
61
3
1
Research Scientist
4
Married
2,293
3,020
2
Y
Yes
16
3
1
80
1
6
2
2
2
0
2
0
43
No
Travel_Rarely
1,273
Research & Development
2
2
Medical
1
46
4
Female
72
4
1
Research Scientist
3
Divorced
2,645
21,923
1
Y
No
12
3
4
80
2
6
3
2
5
3
1
4
50
Yes
Travel_Rarely
869
Sales
3
2
Marketing
1
47
1
Male
86
2
1
Sales Representative
3
Married
2,683
3,810
1
Y
Yes
14
3
3
80
0
3
2
3
3
2
0
2
35
No
Travel_Rarely
890
Sales
2
3
Marketing
1
49
4
Female
97
3
1
Sales Representative
4
Married
2,014
9,687
1
Y
No
13
3
1
80
0
2
3
3
2
2
2
2
36
No
Travel_Rarely
852
Research & Development
5
4
Life Sciences
1
51
2
Female
82
2
1
Research Scientist
1
Married
3,419
13,072
9
Y
Yes
14
3
4
80
1
6
3
4
1
1
0
0
33
No
Travel_Frequently
1,141
Sales
1
3
Life Sciences
1
52
3
Female
42
4
2
Sales Executive
1
Married
5,376
3,193
2
Y
No
19
3
1
80
2
10
3
3
5
3
1
3
35
No
Travel_Rarely
464
Research & Development
4
2
Other
1
53
3
Male
75
3
1
Laboratory Technician
4
Divorced
1,951
10,910
1
Y
No
12
3
3
80
1
1
3
3
1
0
0
0
27
No
Travel_Rarely
1,240
Research & Development
2
4
Life Sciences
1
54
4
Female
33
3
1
Laboratory Technician
1
Divorced
2,341
19,715
1
Y
No
13
3
4
80
1
1
6
3
1
0
0
0
26
Yes
Travel_Rarely
1,357
Research & Development
25
3
Life Sciences
1
55
1
Male
48
1
1
Laboratory Technician
3
Single
2,293
10,558
1
Y
No
12
3
3
80
0
1
2
2
1
0
0
1
27
No
Travel_Frequently
994
Sales
8
3
Life Sciences
1
56
4
Male
37
3
3
Sales Executive
3
Single
8,726
2,975
1
Y
No
15
3
4
80
0
9
0
3
9
8
1
7
30
No
Travel_Frequently
721
Research & Development
1
2
Medical
1
57
3
Female
58
3
2
Laboratory Technician
4
Single
4,011
10,781
1
Y
No
23
4
4
80
0
12
2
3
12
8
3
7
41
Yes
Travel_Rarely
1,360
Research & Development
12
3
Technical Degree
1
58
2
Female
49
3
5
Research Director
3
Married
19,545
16,280
1
Y
No
12
3
4
80
0
23
0
3
22
15
15
8
34
No
Non-Travel
1,065
Sales
23
4
Marketing
1
60
2
Male
72
3
2
Sales Executive
3
Single
4,568
10,034
0
Y
No
20
4
3
80
0
10
2
3
9
5
8
7
37
No
Travel_Rarely
408
Research & Development
19
2
Life Sciences
1
61
2
Male
73
3
1
Research Scientist
2
Married
3,022
10,227
4
Y
No
21
4
1
80
0
8
1
3
1
0
0
0
46
No
Travel_Frequently
1,211
Sales
5
4
Marketing
1
62
1
Male
98
3
2
Sales Executive
4
Single
5,772
20,445
4
Y
Yes
21
4
3
80
0
14
4
3
9
6
0
8
35
No
Travel_Rarely
1,229
Research & Development
8
1
Life Sciences
1
63
4
Male
36
4
1
Laboratory Technician
4
Married
2,269
4,892
1
Y
No
19
3
4
80
0
1
2
3
1
0
0
1
48
Yes
Travel_Rarely
626
Research & Development
1
2
Life Sciences
1
64
1
Male
98
2
3
Laboratory Technician
3
Single
5,381
19,294
9
Y
Yes
13
3
4
80
0
23
2
3
1
0
0
0
28
Yes
Travel_Rarely
1,434
Research & Development
5
4
Technical Degree
1
65
3
Male
50
3
1
Laboratory Technician
3
Single
3,441
11,179
1
Y
Yes
13
3
3
80
0
2
3
2
2
2
2
2
44
No
Travel_Rarely
1,488
Sales
1
5
Marketing
1
68
2
Female
75
3
2
Sales Executive
1
Divorced
5,454
4,009
5
Y
Yes
21
4
3
80
1
9
2
2
4
3
1
3
35
No
Non-Travel
1,097
Research & Development
11
2
Medical
1
70
3
Male
79
2
3
Healthcare Representative
1
Married
9,884
8,302
2
Y
Yes
13
3
3
80
1
10
3
3
4
0
2
3
26
No
Travel_Rarely
1,443
Sales
23
3
Marketing
1
72
3
Female
47
2
2
Sales Executive
4
Married
4,157
21,436
7
Y
Yes
19
3
3
80
1
5
2
2
2
2
0
0
33
No
Travel_Frequently
515
Research & Development
1
2
Life Sciences
1
73
1
Female
98
3
3
Research Director
4
Single
13,458
15,146
1
Y
Yes
12
3
3
80
0
15
1
3
15
14
8
12
35
No
Travel_Frequently
853
Sales
18
5
Life Sciences
1
74
2
Male
71
3
3
Sales Executive
1
Married
9,069
11,031
1
Y
No
22
4
4
80
1
9
3
2
9
8
1
8
35
No
Travel_Rarely
1,142
Research & Development
23
4
Medical
1
75
3
Female
30
3
1
Laboratory Technician
1
Married
4,014
16,002
3
Y
Yes
15
3
3
80
1
4
3
3
2
2
2
2
31
No
Travel_Rarely
655
Research & Development
7
4
Life Sciences
1
76
4
Male
48
3
2
Laboratory Technician
4
Divorced
5,915
9,528
3
Y
No
22
4
4
80
1
10
3
2
7
7
1
7
37
No
Travel_Rarely
1,115
Research & Development
1
4
Life Sciences
1
77
1
Male
51
2
2
Manufacturing Director
3
Divorced
5,993
2,689
1
Y
No
18
3
3
80
1
7
2
4
7
5
0
7
32
No
Travel_Rarely
427
Research & Development
1
3
Medical
1
78
1
Male
33
3
2
Manufacturing Director
4
Married
6,162
10,877
1
Y
Yes
22
4
2
80
1
9
3
3
9
8
7
8
38
No
Travel_Frequently
653
Research & Development
29
5
Life Sciences
1
79
4
Female
50
3
2
Laboratory Technician
4
Single
2,406
5,456
1
Y
No
11
3
4
80
0
10
2
3
10
3
9
9
50
No
Travel_Rarely
989
Research & Development
7
2
Medical
1
80
2
Female
43
2
5
Research Director
3
Divorced
18,740
16,701
5
Y
Yes
12
3
4
80
1
29
2
2
27
3
13
8
59
No
Travel_Rarely
1,435
Sales
25
3
Life Sciences
1
81
1
Female
99
3
3
Sales Executive
1
Single
7,637
2,354
7
Y
No
11
3
4
80
0
28
3
2
21
16
7
9
36
No
Travel_Rarely
1,223
Research & Development
8
3
Technical Degree
1
83
3
Female
59
3
3
Healthcare Representative
3
Divorced
10,096
8,202
1
Y
No
13
3
2
80
3
17
2
3
17
14
12
8
55
No
Travel_Rarely
836
Research & Development
8
3
Medical
1
84
4
Female
33
3
4
Manager
3
Divorced
14,756
19,730
2
Y
Yes
14
3
3
80
3
21
2
3
5
0
0
2
36
No
Travel_Frequently
1,195
Research & Development
11
3
Life Sciences
1
85
2
Male
95
2
2
Manufacturing Director
2
Single
6,499
22,656
1
Y
No
13
3
3
80
0
6
3
3
6
5
0
3
45
No
Travel_Rarely
1,339
Research & Development
7
3
Life Sciences
1
86
2
Male
59
3
3
Research Scientist
1
Divorced
9,724
18,787
2
Y
No
17
3
3
80
1
25
2
3
1
0
0
0
35
No
Travel_Frequently
664
Research & Development
1
3
Medical
1
88
2
Male
79
3
1
Research Scientist
1
Married
2,194
5,868
4
Y
No
13
3
4
80
1
5
2
2
3
2
1
2
36
Yes
Travel_Rarely
318
Research & Development
9
3
Medical
1
90
4
Male
79
2
1
Research Scientist
3
Married
3,388
21,777
0
Y
Yes
17
3
1
80
1
2
0
2
1
0
0
0
59
No
Travel_Frequently
1,225
Sales
1
1
Life Sciences
1
91
1
Female
57
2
2
Sales Executive
3
Single
5,473
24,668
7
Y
No
11
3
4
80
0
20
2
2
4
3
1
3
29
No
Travel_Rarely
1,328
Research & Development
2
3
Life Sciences
1
94
3
Male
76
3
1
Research Scientist
2
Married
2,703
4,956
0
Y
No
23
4
4
80
1
6
3
3
5
4
0
4
31
No
Travel_Rarely
1,082
Research & Development
1
4
Medical
1
95
3
Male
87
3
1
Research Scientist
2
Single
2,501
18,775
1
Y
No
17
3
2
80
0
1
4
3
1
1
1
0
32
No
Travel_Rarely
548
Research & Development
1
3
Life Sciences
1
96
2
Male
66
3
2
Research Scientist
2
Married
6,220
7,346
1
Y
No
17
3
2
80
2
10
3
3
10
4
0
9
36
No
Travel_Rarely
132
Research & Development
6
3
Life Sciences
1
97
2
Female
55
4
1
Laboratory Technician
4
Married
3,038
22,002
3
Y
No
12
3
2
80
0
5
3
3
1
0
0
0
31
No
Travel_Rarely
746
Research & Development
8
4
Life Sciences
1
98
3
Female
61
3
2
Manufacturing Director
4
Single
4,424
20,682
1
Y
No
23
4
4
80
0
11
2
3
11
7
1
8
35
No
Travel_Rarely
776
Sales
1
4
Marketing
1
100
3
Male
32
2
2
Sales Executive
1
Single
4,312
23,016
0
Y
No
14
3
2
80
0
16
2
3
15
13
2
8
45
No
Travel_Rarely
193
Research & Development
6
4
Other
1
101
4
Male
52
3
3
Research Director
1
Married
13,245
15,067
4
Y
Yes
14
3
2
80
0
17
3
4
0
0
0
0
37
No
Travel_Rarely
397
Research & Development
7
4
Medical
1
102
1
Male
30
3
3
Research Director
3
Single
13,664
25,258
4
Y
No
13
3
1
80
0
16
3
4
5
2
0
2
46
No
Travel_Rarely
945
Human Resources
5
2
Medical
1
103
2
Male
80
3
2
Human Resources
2
Divorced
5,021
10,425
8
Y
Yes
22
4
4
80
1
16
2
3
4
2
0
2
30
No
Travel_Rarely
852
Research & Development
1
1
Life Sciences
1
104
4
Male
55
2
2
Laboratory Technician
4
Married
5,126
15,998
1
Y
Yes
12
3
3
80
2
10
1
2
10
8
3
0
35
No
Travel_Rarely
1,214
Research & Development
1
3
Medical
1
105
2
Male
30
2
1
Research Scientist
3
Single
2,859
26,278
1
Y
No
18
3
1
80
0
6
3
3
6
4
0
4
55
No
Travel_Rarely
111
Sales
1
2
Life Sciences
1
106
1
Male
70
3
3
Sales Executive
4
Married
10,239
18,092
3
Y
No
14
3
4
80
1
24
4
3
1
0
1
0
38
No
Non-Travel
573
Research & Development
6
3
Medical
1
107
2
Female
79
1
2
Research Scientist
4
Divorced
5,329
15,717
7
Y
Yes
12
3
4
80
3
17
3
3
13
11
1
9
34
No
Travel_Rarely
1,153
Research & Development
1
2
Medical
1
110
1
Male
94
3
2
Manufacturing Director
2
Married
4,325
17,736
1
Y
No
15
3
3
80
0
5
2
3
5
2
1
3
56
No
Travel_Rarely
1,400
Research & Development
7
3
Life Sciences
1
112
4
Male
49
1
3
Manufacturing Director
4
Single
7,260
21,698
4
Y
No
11
3
1
80
0
37
3
2
6
4
0
2
23
No
Travel_Rarely
541
Sales
2
1
Technical Degree
1
113
3
Male
62
3
1
Sales Representative
1
Divorced
2,322
9,518
3
Y
No
13
3
3
80
1
3
3
3
0
0
0
0
51
No
Travel_Rarely
432
Research & Development
9
4
Life Sciences
1
116
4
Male
96
3
1
Laboratory Technician
4
Married
2,075
18,725
3
Y
No
23
4
2
80
2
10
4
3
4
2
0
3
30
No
Travel_Rarely
288
Research & Development
2
3
Life Sciences
1
117
3
Male
99
2
2
Healthcare Representative
4
Married
4,152
15,830
1
Y
No
19
3
1
80
3
11
3
3
11
10
10
8
46
Yes
Travel_Rarely
669
Sales
9
2
Medical
1
118
3
Male
64
2
3
Sales Executive
4
Single
9,619
13,596
1
Y
No
16
3
4
80
0
9
3
3
9
8
4
7
40
No
Travel_Frequently
530
Research & Development
1
4
Life Sciences
1
119
3
Male
78
2
4
Healthcare Representative
2
Married
13,503
14,115
1
Y
No
22
4
4
80
1
22
3
2
22
3
11
11
51
No
Travel_Rarely
632
Sales
21
4
Marketing
1
120
3
Male
71
3
2
Sales Executive
4
Single
5,441
8,423
0
Y
Yes
22
4
4
80
0
11
2
1
10
7
1
0
30
No
Travel_Rarely
1,334
Sales
4
2
Medical
1
121
3
Female
63
2
2
Sales Executive
2
Divorced
5,209
19,760
1
Y
Yes
12
3
2
80
3
11
4
2
11
8
2
7
46
No
Travel_Frequently
638
Research & Development
1
3
Medical
1
124
3
Male
40
2
3
Healthcare Representative
1
Married
10,673
3,142
2
Y
Yes
13
3
3
80
1
21
5
2
10
9
9
5
32
No
Travel_Rarely
1,093
Sales
6
4
Medical
1
125
2
Male
87
3
2
Sales Executive
3
Single
5,010
24,301
1
Y
No
16
3
1
80
0
12
0
3
11
8
5
7
54
No
Travel_Rarely
1,217
Research & Development
2
4
Technical Degree
1
126
1
Female
60
3
3
Research Director
3
Married
13,549
24,001
9
Y
No
12
3
1
80
1
16
5
1
4
3
0
3
24
No
Travel_Rarely
1,353
Sales
3
2
Other
1
128
1
Female
33
3
2
Sales Executive
3
Married
4,999
17,519
0
Y
No
21
4
1
80
1
4
2
2
3
2
0
2
28
No
Non-Travel
120
Sales
4
3
Medical
1
129
2
Male
43
3
2
Sales Executive
3
Married
4,221
8,863
1
Y
No
15
3
2
80
0
5
3
4
5
4
0
4
58
No
Travel_Rarely
682
Sales
10
4
Medical
1
131
4
Male
37
3
4
Sales Executive
3
Single
13,872
24,409
0
Y
No
13
3
3
80
0
38
1
2
37
10
1
8
44
No
Non-Travel
489
Research & Development
23
3
Medical
1
132
2
Male
67
3
2
Laboratory Technician
2
Married
2,042
25,043
4
Y
No
12
3
3
80
1
17
3
4
3
2
1
2
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
27
Size of downloaded dataset files:
227 kB
Size of the auto-converted Parquet files:
79.4 kB
Number of rows:
1,470

Models trained or fine-tuned on Redsmoothy/HR_Attrition