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
28
0
2
29
2
0
3
5
0
4
1
3
0
1
1
1
1
21,541
train
3,162
0
42
1
2
16
2
0
2
3
4
5
0
1
0
3
0
1
0
31,799
train
786
0
36
1
3
9
3
0
2
3
1
4
3
4
1
4
0
1
2
24,278
train
794
0
50
0
1
26
3
1
2
3
4
3
1
3
1
4
1
1
0
26,245
train
890
1
29
1
1
31
3
1
3
4
0
4
1
3
1
1
0
1
1
21,086
train
2,937
0
45
0
3
7
3
0
4
4
1
3
0
2
0
4
1
2
2
23,446
train
2,860
1
22
1
3
19
2
0
3
2
0
4
3
3
0
5
0
2
1
21,394
train
3,588
0
28
1
1
11
2
0
4
4
0
3
2
3
0
2
1
2
1
20,996
train
2,524
0
35
1
1
13
2
0
3
5
1
4
1
8
0
3
1
1
2
23,183
train
3,356
0
54
1
1
31
3
1
3
2
3
3
1
5
0
3
0
2
3
25,683
train
2,998
0
33
0
1
10
1
1
2
3
1
4
1
6
0
1
0
0
2
18,055
train
989
0
42
1
3
7
3
1
3
3
3
5
0
3
0
3
1
2
3
27,070
train
2,281
1
33
1
3
22
2
0
3
3
3
5
3
3
1
5
0
0
3
23,564
train
979
0
60
1
2
13
3
1
3
4
0
3
1
2
0
4
0
1
1
20,945
train
3,465
0
34
1
3
9
3
0
3
4
1
3
1
4
1
3
0
0
2
23,103
train
1,059
0
23
1
3
8
1
1
3
3
0
5
1
4
0
3
1
2
1
17,322
train
1,219
0
57
1
1
7
2
0
3
4
0
5
0
4
0
5
1
2
1
20,744
train
2,834
1
32
0
1
9
2
1
4
4
0
3
0
8
1
3
1
2
1
22,400
train
2,846
0
34
1
3
17
3
1
3
4
1
3
3
3
0
1
0
1
2
24,165
train
3,149
0
46
1
1
9
2
0
4
5
0
3
2
3
0
3
1
1
1
20,952
train
3,797
0
39
0
1
8
1
0
3
3
3
3
3
1
0
1
1
2
3
25,938
train
1,352
0
25
1
3
10
2
0
3
4
1
3
1
2
0
4
0
1
2
23,677
train
3,341
0
31
1
1
16
3
1
3
5
0
3
2
3
0
4
0
2
1
20,884
train
3,278
0
20
1
1
5
2
1
2
4
0
3
2
2
0
3
0
0
1
18,033
train
1,827
0
34
1
1
6
2
0
3
1
0
3
2
3
0
2
0
0
1
18,280
train
460
0
34
1
3
6
3
1
2
3
3
3
3
2
0
5
1
0
3
24,888
train
1,082
0
48
1
1
10
2
1
3
4
3
3
3
1
0
5
1
1
3
25,999
train
588
0
30
1
1
8
3
0
2
4
1
3
3
6
1
1
1
1
2
21,877
train
1,632
0
50
1
1
8
3
1
3
3
4
3
0
6
0
2
0
1
0
32,639
train
470
1
36
0
3
25
3
0
4
4
1
3
0
2
1
5
1
3
2
23,292
train
2,798
0
32
1
1
11
2
1
3
2
0
4
1
1
1
2
1
0
1
18,298
train
14
1
42
0
3
18
2
1
2
3
4
5
2
1
1
5
1
1
0
28,758
train
666
1
32
1
3
13
2
1
4
6
1
3
1
6
1
3
0
3
2
24,850
train
3,365
0
35
0
1
10
2
1
2
4
0
3
0
2
0
2
1
0
1
17,376
train
673
0
31
1
3
15
2
1
4
4
3
3
1
7
0
3
1
1
3
25,942
train
3,892
0
30
1
1
34
3
0
4
4
1
3
1
6
0
1
0
2
2
23,013
train
3,770
0
51
1
1
16
2
1
4
4
0
3
0
6
0
5
1
1
1
21,058
train
2,590
0
37
1
1
11
2
1
3
5
1
3
3
3
0
5
1
2
2
24,488
train
2,829
1
55
1
3
8
3
1
2
3
1
3
2
5
0
2
0
1
2
20,160
train
488
0
45
1
2
7
2
0
3
5
1
3
3
6
0
5
1
2
2
24,663
train
2,361
0
54
1
1
25
3
0
3
3
1
5
1
1
1
3
0
0
2
20,485
train
461
0
41
1
1
12
3
1
3
4
1
4
2
7
1
3
1
0
2
21,032
train
281
0
25
1
1
25
2
1
3
4
0
3
0
2
0
4
1
1
1
21,452
train
2,020
1
49
1
1
7
2
1
4
5
3
3
3
2
1
5
0
1
3
24,059
train
3,296
0
55
1
1
14
3
0
4
4
1
3
1
6
0
3
1
2
2
25,532
train
3,096
0
30
1
1
30
2
1
3
3
0
3
1
2
0
2
0
1
1
17,693
train
6
0
34
1
3
14
2
0
3
3
1
5
0
6
0
2
1
0
2
21,500
train
465
0
34
0
1
11
1
1
3
4
1
4
1
7
0
1
0
1
2
21,733
train
3,057
0
54
1
3
14
3
0
4
5
3
3
1
2
1
1
0
2
3
29,612
train
3,816
0
33
1
1
20
3
0
3
3
0
4
1
2
0
5
1
1
1
17,756
train
1,297
0
43
1
1
25
2
1
3
4
1
5
1
8
1
1
0
1
2
24,088
train
3,200
0
49
1
1
12
2
0
2
4
4
3
1
3
1
5
1
0
0
28,966
train
923
1
30
0
1
10
1
1
2
3
0
3
2
19
1
4
1
1
1
17,285
train
314
0
36
1
1
12
2
1
2
5
0
3
1
2
0
1
1
0
1
17,741
train
1,840
0
38
0
3
26
3
1
3
4
3
4
3
3
1
5
0
1
3
26,320
train
3,844
0
27
1
1
10
2
0
3
3
0
3
2
2
0
2
1
1
1
17,318
train
536
1
31
0
1
11
1
1
3
4
0
3
2
2
1
4
1
1
1
20,963
train
3,602
1
34
1
1
16
3
1
2
3
1
5
2
2
0
4
0
0
2
21,125
train
1,906
0
20
1
3
27
3
1
2
1
0
3
2
2
0
3
0
0
1
17,678
train
693
0
35
0
1
8
3
1
4
5
1
5
3
2
0
1
0
1
2
24,021
train
4,022
0
31
1
3
36
2
1
4
4
1
5
1
2
0
1
1
1
2
22,793
train
4,037
1
26
1
3
26
3
1
3
5
0
4
1
3
1
1
0
2
1
21,091
train
3,874
0
32
1
1
18
3
1
4
4
1
5
0
3
1
2
0
3
2
25,511
train
2,728
0
52
0
3
8
2
1
3
4
2
3
2
2
1
2
1
2
4
34,068
train
193
0
35
1
1
16
2
1
3
4
3
3
1
2
0
5
1
2
3
27,178
train
2,775
0
37
0
1
15
3
1
2
3
0
3
1
2
1
1
0
1
1
17,326
train
1,388
0
40
1
1
26
1
1
3
3
3
3
1
5
0
3
1
1
3
25,322
train
1,772
1
33
1
1
21
3
1
2
3
3
3
1
1
1
5
1
0
3
28,610
train
1,501
0
39
0
1
13
3
1
2
4
2
3
1
2
0
5
1
0
4
34,272
train
1,415
0
32
1
3
12
1
1
3
4
1
3
1
3
0
5
0
2
2
27,024
train
3,040
1
58
1
1
8
2
1
2
3
2
4
2
1
1
3
1
0
4
34,246
train
1,626
0
48
1
1
6
2
1
3
4
2
3
2
7
0
3
1
0
4
33,265
train
715
1
22
0
1
9
2
1
2
4
0
3
0
1
1
3
0
0
1
17,853
train
683
0
43
0
1
30
2
1
3
5
1
3
3
3
0
3
1
2
2
23,010
train
3,185
0
45
1
1
15
2
1
4
2
0
3
0
4
1
3
1
3
1
21,496
train
2,486
1
48
0
3
16
2
1
3
6
4
3
1
2
0
5
1
2
0
31,614
train
3,018
1
45
1
1
10
2
1
3
4
0
5
0
6
0
5
1
2
1
21,040
train
2,773
1
30
1
1
28
2
0
2
3
0
3
1
5
1
1
0
0
1
17,132
train
1,724
0
45
1
1
6
3
0
3
3
0
3
1
4
0
5
1
0
1
17,270
train
1,719
0
43
0
3
8
2
1
3
3
1
3
1
2
0
3
1
2
2
20,675
train
1,029
0
36
0
1
9
3
1
4
5
0
3
3
2
1
3
1
1
1
23,608
train
3,010
1
37
1
3
20
3
1
4
5
1
5
1
7
1
1
1
1
2
24,812
train
3,030
0
39
1
1
12
2
0
2
3
3
4
3
5
0
3
0
1
3
23,376
train
843
0
36
0
1
30
2
0
2
3
1
4
1
1
0
3
1
1
2
20,674
train
1,398
1
30
1
1
8
2
1
3
3
0
4
3
2
0
3
0
0
1
26,916
train
1,896
0
37
1
1
13
2
1
3
6
0
3
1
3
0
2
0
1
1
21,419
train
2,707
0
61
1
1
7
3
1
4
6
3
3
1
5
0
5
0
1
3
29,561
train
3,004
0
28
0
1
17
2
1
3
4
3
5
1
3
0
3
0
2
3
27,471
train
3,738
1
21
0
3
16
3
0
3
4
0
3
2
3
1
4
0
1
1
21,001
train
2,617
0
48
1
3
8
3
1
2
1
1
4
1
4
0
3
0
1
2
23,120
train
1,567
0
39
1
1
19
3
0
3
4
4
4
1
7
1
3
1
2
0
32,123
train
741
0
46
1
1
6
3
1
2
3
2
3
1
1
0
5
1
0
4
34,627
train
1,760
0
27
0
1
9
3
1
3
4
0
3
1
2
1
2
0
2
1
17,566
train
133
0
33
0
1
9
2
1
4
4
0
3
3
2
0
3
1
2
1
21,746
train
3,254
0
42
0
1
14
2
1
3
3
2
3
1
2
0
5
0
1
4
33,430
train
466
1
21
1
1
24
2
0
3
3
0
3
2
2
0
3
1
1
1
17,693
train
530
0
48
1
3
21
3
0
4
4
1
3
0
5
1
5
1
1
2
23,269
train
2,874
0
29
1
1
22
2
1
3
4
0
3
1
3
0
4
1
2
1
20,885
train
2,634
0
44
1
1
16
2
1
2
3
1
3
0
3
1
3
1
1
2
21,465
train
25
0
48
1
1
26
3
1
2
3
0
3
1
5
0
1
1
0
1
17,259
train
1,691