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
0
52
1
1
6
2
1
3
3
4
3
0
3
0
2
1
1
0
32,099
train
558
0
33
0
1
6
2
0
3
3
3
3
3
2
1
1
1
0
3
28,458
train
1,194
0
21
1
1
6
1
0
3
4
0
4
2
2
1
5
1
1
1
17,070
train
1,796
0
33
1
1
8
2
1
2
3
0
3
2
1
0
3
0
1
1
17,500
train
142
0
33
0
1
9
2
0
3
4
1
3
3
6
1
5
1
2
2
23,676
train
2,715
0
23
1
1
12
2
1
3
3
0
4
1
3
1
4
0
1
1
21,006
train
2,104
0
36
1
1
32
1
1
4
5
3
4
0
5
0
3
1
2
3
29,581
train
2,502
0
51
1
3
32
3
0
3
3
4
3
0
3
0
3
0
1
0
31,307
train
494
1
23
0
1
10
2
1
3
5
0
3
1
2
1
3
0
2
1
21,531
train
4,033
0
40
1
3
8
3
0
2
3
1
4
1
1
0
2
0
1
2
20,715
train
316
1
41
1
1
8
2
0
2
5
0
3
1
5
1
3
0
0
1
17,778
train
533
0
43
0
1
12
2
1
4
4
0
3
0
6
0
3
1
1
1
20,771
train
2,315
0
46
1
1
27
3
1
4
4
4
3
0
2
1
3
0
1
0
32,174
train
2,159
0
34
0
1
28
2
1
2
4
1
3
1
2
1
1
1
0
2
20,747
train
1,067
0
30
1
3
10
3
0
3
4
1
4
1
2
1
3
1
0
2
20,209
train
1,224
1
44
0
1
30
2
1
2
3
0
3
1
4
1
5
0
1
1
18,161
train
1,381
0
39
1
1
24
2
0
4
5
3
3
0
2
0
2
0
3
3
27,501
train
2,625
0
51
1
1
9
1
0
2
3
3
3
1
3
0
4
1
1
3
28,116
train
996
1
29
1
1
7
2
0
4
6
0
4
2
2
1
1
1
3
1
20,894
train
3,740
0
32
0
1
10
3
1
4
4
3
3
1
2
0
4
1
3
3
32,353
train
2,138
0
57
1
1
15
2
0
4
4
0
5
1
6
1
4
1
2
1
22,935
train
2,078
1
28
1
3
19
3
0
2
3
1
3
3
4
1
5
1
1
2
24,854
train
1,068
0
20
1
3
8
3
0
2
3
0
3
2
2
0
4
0
0
1
17,783
train
920
0
34
1
1
28
3
1
4
2
0
4
1
3
0
1
1
2
1
20,706
train
3,005
0
40
0
1
9
1
0
4
4
3
3
2
2
0
1
1
3
3
29,616
train
3,480
0
27
1
1
9
3
1
3
2
1
3
0
3
0
3
1
2
2
24,150
train
2,582
1
31
0
1
21
3
1
3
3
0
3
1
2
0
4
1
0
1
17,610
train
1,808
0
44
1
1
9
2
1
2
3
2
3
0
5
1
2
1
0
4
34,513
train
398
0
43
1
1
16
2
1
4
5
2
3
2
2
0
1
1
2
4
38,291
train
2,931
0
37
1
1
10
2
1
2
3
0
3
0
1
1
5
1
1
1
17,996
train
779
0
27
1
3
35
3
1
4
4
1
4
0
3
0
3
1
1
2
24,950
train
2,345
1
31
0
1
15
3
1
2
4
0
5
2
1
1
3
0
1
1
17,321
train
1,716
0
47
0
1
14
3
0
2
4
1
3
0
4
0
5
0
1
2
23,936
train
2,246
0
32
1
1
11
3
0
4
2
0
3
1
2
0
5
1
3
1
22,656
train
3,146
0
56
1
1
15
3
0
3
4
4
3
1
4
1
3
1
2
0
33,434
train
3,310
0
46
1
3
9
2
1
4
4
1
4
0
2
0
5
1
1
2
23,483
train
2,325
0
35
1
3
15
1
1
4
2
1
3
1
3
0
1
0
3
2
25,477
train
3,091
0
32
1
3
9
2
1
4
4
1
3
3
6
1
5
1
2
2
25,260
train
3,660
0
37
0
1
10
3
1
2
4
0
4
2
6
0
4
1
1
1
20,766
train
2,075
0
33
1
3
11
2
0
3
4
0
4
1
4
0
3
1
2
1
22,609
train
3,468
0
33
0
3
14
2
0
2
4
0
3
2
1
0
2
1
1
1
17,342
train
599
0
34
1
3
6
1
1
3
4
3
3
0
2
1
1
1
1
3
22,083
train
848
0
53
1
1
9
3
1
2
3
4
3
1
4
1
5
1
0
0
32,584
train
1,377
0
28
1
1
9
2
0
3
4
1
3
1
2
0
5
1
1
2
22,905
train
3,925
1
29
1
1
12
1
1
3
4
0
3
3
3
1
2
1
1
1
22,119
train
1,962
0
36
1
1
12
2
0
2
1
0
3
1
4
0
1
0
0
1
18,038
train
1,211
0
27
1
1
10
2
1
2
1
1
4
1
2
1
4
1
0
2
21,142
train
1,148
0
39
1
1
17
3
0
4
4
1
3
0
5
0
3
1
3
2
28,502
train
2,342
0
36
0
1
9
3
0
3
4
1
4
3
7
0
1
0
1
2
23,103
train
3,430
0
20
1
1
10
3
0
4
4
0
4
2
3
0
3
1
3
1
20,161
train
2,053
0
44
1
2
6
2
0
2
4
1
3
2
5
0
5
1
1
2
20,985
train
395
1
42
0
2
14
2
0
3
4
0
3
1
7
0
5
1
1
1
32,861
train
1,901
0
36
1
1
16
2
1
2
3
3
5
1
1
1
5
1
1
3
23,321
train
998
1
21
0
3
24
3
0
3
3
1
3
1
1
1
5
0
1
2
17,625
train
1,874
0
44
1
1
9
3
0
4
2
0
3
1
3
0
1
1
3
1
21,323
train
3,281
1
28
1
3
9
3
1
3
4
0
5
1
2
0
5
1
2
1
21,719
train
3,700
0
37
1
1
6
2
0
2
3
0
3
2
2
0
2
1
1
1
17,115
train
231
0
35
0
3
24
2
1
3
3
3
5
0
2
0
4
1
0
3
24,069
train
45
0
36
0
1
18
3
1
4
5
3
5
0
4
1
5
1
2
3
28,562
train
1,964
0
34
1
1
16
2
1
2
3
0
4
1
2
0
1
1
1
1
17,008
train
1,685
0
44
1
3
9
3
1
4
4
1
3
1
3
1
3
0
1
2
26,525
train
3,011
0
26
1
2
31
2
0
3
3
0
3
0
2
0
4
1
0
1
17,942
train
108
0
36
1
3
35
2
0
4
5
0
3
1
2
0
4
1
3
1
21,108
train
2,903
0
46
1
3
8
3
0
2
3
2
5
2
4
0
2
0
1
4
33,947
train
23
1
28
1
1
6
2
0
3
5
0
4
2
1
1
1
1
2
1
17,216
train
1,581
0
49
0
3
8
3
1
3
4
1
4
1
3
0
3
1
2
2
20,390
train
1,149
0
27
0
1
7
2
0
3
4
1
4
1
3
0
5
1
2
2
25,075
train
3,505
0
30
1
3
17
3
1
3
4
0
4
1
3
0
2
0
2
1
20,975
train
2,418
0
27
1
1
22
1
0
2
3
0
4
1
1
0
1
1
0
1
17,811
train
1,723
0
35
0
1
29
2
1
3
5
1
3
1
3
1
1
1
1
2
24,425
train
3,153
0
22
1
1
11
2
1
2
1
0
4
1
2
1
4
1
0
1
17,328
train
1,313
0
35
1
1
27
1
0
3
2
0
3
0
2
0
1
1
1
1
21,263
train
2,735
0
36
1
1
29
2
0
4
3
3
4
1
2
0
5
1
2
3
30,674
train
2,166
0
58
0
1
21
2
1
2
3
4
3
1
3
1
1
1
0
0
30,787
train
1,023
0
27
1
2
32
2
0
4
4
0
3
0
3
0
4
1
1
1
21,620
train
2,039
0
33
1
1
9
3
1
3
4
1
4
1
2
0
4
0
2
2
24,148
train
2,986
0
38
1
3
13
3
0
2
1
1
5
1
2
1
3
1
1
2
20,605
train
1,374
0
28
1
3
9
3
0
3
2
1
3
3
2
0
1
0
2
2
25,178
train
3,137
0
30
0
1
15
3
1
3
3
1
5
1
2
0
1
1
1
2
18,072
train
1,290
0
54
1
1
23
1
0
2
3
3
3
0
1
0
5
1
0
3
25,739
train
581
0
26
1
3
10
2
1
4
4
1
5
1
3
1
4
0
3
2
22,872
train
3,826
1
18
0
3
11
3
1
3
3
0
4
2
2
1
4
1
2
1
16,878
train
366
1
32
0
1
16
3
1
3
5
0
5
2
2
1
3
1
1
1
20,999
train
2,562
0
27
1
3
7
2
1
3
4
1
3
0
3
0
5
1
1
2
23,974
train
2,236
0
40
1
1
26
2
1
3
4
1
3
1
2
0
5
1
1
2
22,580
train
3,124
0
29
1
2
23
2
1
2
4
3
5
3
2
0
3
0
0
3
22,988
train
790
0
28
0
1
10
3
1
4
5
0
3
1
3
1
2
0
3
1
21,244
train
2,068
1
31
1
1
29
2
0
3
4
0
3
1
6
1
1
0
1
1
20,810
train
3,907
0
32
1
3
13
3
1
4
2
1
3
1
6
0
5
1
2
2
24,138
train
3,690
0
38
1
3
17
2
0
3
5
1
3
1
4
1
4
1
2
2
25,372
train
3,973
0
32
0
1
14
2
0
3
5
3
3
0
3
0
2
1
2
3
27,621
train
2,209
0
45
1
1
26
3
1
3
3
4
3
1
1
1
3
1
1
0
28,496
train
1,365
1
26
1
3
12
3
1
3
5
1
3
3
3
1
3
1
1
2
24,422
train
2,015
0
34
0
3
17
3
1
3
5
1
3
3
5
0
3
1
1
2
23,360
train
3,548
0
46
1
1
21
2
1
2
3
2
4
1
6
0
3
1
1
4
34,081
train
1,837
0
36
1
3
6
2
0
3
3
1
3
3
7
0
1
1
1
2
21,815
train
877
0
37
1
1
31
3
0
2
4
1
3
1
1
0
3
0
1
2
20,731
train
661
1
29
0
3
7
1
1
4
4
0
3
0
5
0
3
1
1
1
21,587
train
2,863
0
28
1
3
15
2
1
3
3
1
3
2
2
0
3
1
1
2
20,253
train
1,455
0
38
1
3
17
2
0
3
5
1
3
1
4
1
4
0
1
2
25,372
train
2,636