Datasets:
RandhirSingh23
/
tourism-package-prediction-test

Dataset card Data Studio Files
xet
Community
1
ProdTaken
int64
Age
float64
TypeofContact
int64
CityTier
int64
DurationOfPitch
float64
Occupation
int64
Gender
int64
NumberOfPersonVisiting
int64
NumberOfFollowups
float64
ProductPitched
int64
PreferredPropertyStar
float64
MaritalStatus
int64
NumberOfTrips
float64
Passport
int64
PitchSatisfactionScore
int64
OwnCar
int64
NumberOfChildrenVisiting
float64
Designation
int64
MonthlyIncome
float64
split
string
__index_level_0__
int64
1
18
0
1
14
3
1
3
3
0
3
2
2
0
5
0
0
1
16,904
train
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30
0
1
7
1
1
3
4
1
3
1
3
0
3
0
1
2
22,997
train
3,395
0
48
1
1
6
2
0
2
4
4
5
1
1
0
4
0
0
0
30,402
train
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0
52
1
1
10
2
0
1
3
4
3
1
3
0
5
1
0
0
31,555
train
1,479
0
57
0
1
16
3
0
4
4
0
3
1
4
0
1
1
1
1
21,620
train
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53
1
3
12
3
1
2
3
1
3
0
3
1
5
0
0
2
17,306
train
122
0
38
0
1
35
2
0
2
3
1
3
2
2
0
3
1
0
2
17,406
train
1,199
0
46
0
1
30
2
1
3
4
1
5
1
3
1
1
1
1
2
22,311
train
3,905
0
38
0
1
16
3
1
3
3
0
3
1
1
0
5
0
0
1
17,684
train
1,726
0
33
0
1
7
2
0
4
5
0
4
0
8
0
3
1
1
1
21,010
train
2,536
0
45
0
1
30
3
1
4
4
1
4
1
6
0
3
0
2
2
20,720
train
3,344
0
44
1
1
15
2
0
4
4
1
3
1
6
1
1
1
1
2
23,200
train
3,612
1
41
1
3
6
2
0
3
3
1
3
2
1
1
2
1
0
2
20,993
train
0
0
34
0
3
15
2
0
3
5
0
3
2
2
0
1
0
2
1
21,020
train
3,937
0
39
0
1
15
2
1
2
3
2
3
2
3
0
4
0
1
4
34,431
train
1,122
0
60
1
3
32
2
0
5
4
3
5
3
2
0
3
1
2
3
26,315
train
3,308
0
32
1
1
10
2
0
3
4
1
3
1
2
0
4
1
1
2
21,162
train
1,630
0
39
0
1
31
2
1
3
3
3
3
0
4
0
1
0
0
3
25,920
train
781
0
51
1
1
13
3
1
2
4
1
3
1
3
0
3
1
1
2
21,132
train
1,274
0
30
1
3
17
2
1
4
4
0
3
3
3
0
4
1
1
1
21,320
train
3,746
1
55
1
3
15
3
0
2
5
0
4
2
2
0
1
1
1
1
34,187
train
1,902
0
32
0
1
19
2
0
3
4
0
4
1
2
0
5
1
0
1
17,743
train
1,845
1
29
1
1
8
1
1
4
5
0
5
2
8
0
3
1
2
1
20,758
train
4,092
0
34
1
3
8
2
1
2
3
1
3
2
2
0
5
0
1
2
21,274
train
1,606
0
27
0
3
7
3
1
3
5
1
5
3
3
0
3
1
2
2
22,972
train
2,539
0
54
1
3
8
2
0
2
4
3
3
0
7
0
5
1
0
3
25,686
train
613