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
32
0
1
6
2
1
3
3
0
3
1
1
0
5
1
0
1
17,314
train
1,657
0
21
1
1
11
3
1
3
3
0
3
2
2
0
1
1
1
1
18,117
train
900
0
21
1
3
28
3
1
3
2
0
3
3
3
0
3
0
1
1
21,356
train
2,710
0
37
0
1
30
3
1
3
2
1
3
1
6
0
3
0
1
2
21,249
train
3,244
0
45
1
1
17
2
1
3
4
1
3
0
4
1
3
1
2
2
25,143
train
1,942
0
29
1
1
22
2
1
3
4
0
3
1
3
0
4
0
1
1
20,885
train
3,971
0
60
1
1
10
2
1
4
5
0
3
0
5
0
3
0
2
1
20,855
train
2,123
1
31
0
3
32
3
1
3
3
1
3
1
2
1
3
0
1
2
20,617
train
1,091
0
31
0
1
9
3
1
2
3
0
5
1
2
1
1
0
0
1
18,065
train
1,080
0
39
1
3
17
2
0
4
4
1
3
1
3
0
4
0
3
2
24,021
train
3,230
0
32
1
1
15
2
0
3
3
1
3
1
2
1
5
1
2
2
21,322
train
1,551
0
55
1
3
10
3
0
3
4
1
5
1
4
0
4
1
1
2
24,618
train
3,453
0
32
1
1
6
3
1
2
3
1
3
1
2
1
4
1
1
2
21,162
train
1,198
0
36
1
1
16
2
0
4
5
3
3
1
3
1
4
1
3
3
29,363
train
3,827
0
36
1
1
30
3
0
2
4
0
5
0
5
1
4
1
1
1
22,692
train
1,968
0
38
0
1
13
2
1
2
1
0
3
1
2
0
3
0
0
1
17,610
train
773
0
32
1
3
15
2
1
3
4
3
3
1
3
0
3
1
1
3
29,471
train
2,840
0
30
1
3
12
3
1
3
5
1
4
1
3
1
5
0
1
2
22,865
train
2,984
0
29
0
1
9
2
1
3
5
0
3
0
3
1
4
1
1
1
22,545
train
2,752
0
36
1
1
6
2
0
2
3
1
4
0
1
0
5
0
0
2
20,228
train
475
0
28
1
1
12
1
1
3
5
3
3
1
3
1
3
1
2
3
31,486
train
3,803
0
27
1
1
10
2
0
3
3
0
3
2
2
0
1
0
0
1
17,318
train
1,684
0
49
0
1
14
2
1
3
4
1
4
1
2
0
1
0
0
2
20,130
train
1,151
0
41
1
3
33
3
1
4
4
1
5
1
3
0
1
1
3
2
27,074
train
3,948
0
34
0
3
8
3
0
3
3
0
3
1
7
0
5
0
0
1
17,231
train
1,277
0
37
0
3
10
3
1
2
3
0
3
1
5
0
4
1
0
1
17,177
train
182
0
28
1
1
8
2
1
3
4
0
4
1
1
0
1
0
2
1
18,201
train
1,800
0
43
0
1
9
3
1
3
4
0
3
2
7
1
1
1
2
1
21,193
train
3,824
0
36
1
1
8
2
0
3
3
1
4
1
5
1
4
0
0
2
21,962
train
1,028
0
49
1
1
7
2
0
3
5
4
5
1
2
0
4
0
1
0
34,080
train
3,697
0
41
1
1
6
2
1
3
3
0
3
1
4
0
1
0
0
1
17,782
train
1,109
0
50
1
1
15
2
0
3
4
3
4
1
6
0
4
0
2
3
26,081
train
3,868
0
26
0
1
12
2
1
3
2
1
5
1
3
0
5
1
2
2
22,678
train
3,495
1
32
1
2
29
2
1
3
6
0
3
1
3
0
1
0
2
1
28,530
train
4,107
0
35
1
1
22
2
1
3
3
3
3
1
5
1
1
0
0
3
22,632
train
1,503
0
42
0
1
11
2
1
3
3
0
3
0
5
0
3
1
0
1
17,093
train
356
0
50
0
1
8
2
1
3
3
4
5
1
2
0
5
1
1
0
32,924
train
1,670
1
40
0
1
9
2
1
3
4
4
3
1
2
0
3
1
1
0
30,847
train
2,652
0
35
1
3
35
3
0
4
5
1
3
1
3
0
5
1
1
2
25,390
train
3,225
1
19
1
1
8
2
1
2
4
0
3
2
2
0
5
1
0
1
16,102
train
1,292
0
55
1
1
6
3
1
2
1
4
3
1
3
0
5
1
0
0
29,732
train
793
1
19
0
3
6
1
0
3
5
0
5
2
1
0
3
1
1
1
17,325
train
139
0
49
1
1
11
2
1
3
4
3
3
3
3
0
5
1
2
3
26,576
train
2,786
0
48
0
1
23
3
1
4
2
1
3
1
3
1
2
0
1
2
23,745
train
2,560
0
38
1
1
7
2
0
3
4
0
3
2
3
0
1
1
1
1
20,793
train
3,510
0
27
1
1
13
2
0
3
5
0
4
0
3
0
3
1
1
1
21,046
train
2,030
0
56
1
1
13
2
1
2
5
3
3
3
5
0
1
0
0
3
22,260
train
1,218
0
40
1
1
6
2
1
3
3
4
5
1
3
0
3
1
2
0
31,823
train
1,050
1
41
1
3
32
3
1
3
5
3
4
3
4
1
5
0
2
3
27,772
train
2,766
0
27
1
1
30
2
0
3
4
0
3
1
3
0
3
0
1
1
21,564
train
3,631
0
55
1
1
9
1
0
3
4
3
3
1
2
0
4
0
1
3
32,227
train
3,340
1
28
0
1
30
1
1
3
4
3
5
3
2
0
2
0
0
3
23,722
train
621
1
34
1
3
23
3
0
4
4
1
5
3
7
0
3
1
1
2
24,002
train
3,787
1
20
0
1
12
2
0
3
4
0
3
2
2
1
2
1
1
1
17,926
train
81
0
34
1
1
21
3
0
4
4
0
4
0
3
0
5
0
1
1
21,434
train
2,087
1
22
1
3
14
3
1
3
4
0
4
3
3
0
5
1
2
1
21,357
train
3,063
0
34
1
3
9
3
1
4
4
1
3
1
3
0
3
1
2
2
24,183
train
2,985
0
23
1
1
32
2
1
2
3
0
3
1
2
0
1
0
1
1
17,904
train
1,430
0
49
0
1
7
3
1
3
2
4
3
2
4
0
2
0
1
0
35,563
train
2,644
0
37
0
2
9
2
1
4
5
1
3
3
3
0
3
1
1
2
22,564
train
3,135
0
38
0
2
8
2
1
3
3
0
4
1
6
0
3
1
2
1
17,592
train
1,007
0
45
1
1
14
3
0
3
5
3
3
0
5
0
4
1
1
3
28,926
train
1,940
0
46
1
1
8
1
1
2
3
1
3
1
3
0
1
0
0
2
22,379
train
1,842
0
47
0
3
9
3
0
2
3
4
3
1
1
1
5
1
0
0
28,770
train
1,584
0
32
1
1
8
3
0
3
3
0
4
0
2
0
4
0
0
1
17,370
train
285
0
48
0
1
23
3
1
4
2
1
3
1
3
1
1
1
1
2
23,745
train
3,897
0
20
1
1
6
2
0
2
4
0
4
2
2
0
4
1
0
1
17,836
train
390
1
36
0
1
32
2
0
4
4
0
4
1
3
1
3
1
2
1
20,700
train
3,828
0
33
1
3
14
3
1
2
3
1
3
1
1
0
1
0
0
2
22,104
train
1,550
0
40
1
1
8
3
0
2
1
1
3
1
6
0
3
1
0
2
21,377
train
770
0
42
1
1
8
3
1
2
3
4
5
1
1
0
3
1
0
0
32,665
train
1,782
0
33
0
3
8
3
0
3
3
1
4
2
1
0
1
0
0
2
20,147
train
978
0
31
1
3
13
3
1
3
3
1
3
1
5
0
1
0
0
2
22,547
train
1,411
0
27
0
3
26
2
0
2
3
1
3
3
2
0
2
1
1
2
24,981
train
169
0
35
1
1
6
3
0
2
4
1
3
0
1
0
1
1
1
2
20,363
train
765
0
41
1
1
31
1
1
4
4
1
3
1
3
0
3
1
2
2
21,997
train
3,473
0
42
1
1
13
3
0
3
1
1
4
0
7
1
1
0
0
2
17,372
train
731
0
40
1
1
16
2
0
2
2
0
3
0
4
1
3
0
1
1
17,213
train
294
1
52
1
3
11
2
1
3
3
3
4
3
1
1
4
1
1
3
23,446
train
747
0
47
1
3
7
3
0
4
4
3
5
1
3
0
1
1
3
3
29,131
train
3,416
0
44
0
1
7
2
0
3
4
1
3
1
6
0
1
1
2
2
24,240
train
3,842
0
27
1
3
30
3
0
3
5
1
3
1
2
1
1
0
1
2
22,835
train
3,300
0
32
1
1
19
3
0
4
4
0
3
1
2
1
4
1
2
1
22,607
train
3,418
0
39
1
3
7
2
0
3
5
1
3
3
6
0
2
1
2
2
27,364
train
2,071
0
32
0
1
8
2
1
3
3
0
3
2
1
0
3
1
1
1
18,068
train
1,154
0
27
1
1
20
2
1
2
3
0
5
1
2
1
4
1
0
1
17,235
train
1,851
0
45
1
3
7
3
0
4
4
1
5
1
7
1
1
1
2
2
24,132
train
3,298
0
31
1
3
12
2
0
3
4
3
3
0
4
0
4
1
2
3
28,097
train
2,070
1
51
0
1
14
2
1
2
5
3
3
3
3
0
2
0
1
3
25,650
train
109
1
21
1
3
18
2
0
2
2
0
4
2
2
0
5
0
1
1
17,716
train
302
0
25
1
3
10
2
0
3
4
1
3
0
2
0
4
1
1
2
23,677
train
2,006
0
34
1
3
15
3
1
3
4
1
3
1
2
0
2
1
2
2
25,782
train
2,366
0
52
1
1
17
2
0
2
3
1
3
0
1
0
2
1
1
2
18,149
train
469
0
36
1
3
7
3
1
4
4
3
4
0
3
0
4
1
3
3
25,973
train
2,055
0
30
1
1
34
3
0
3
3
1
3
0
2
0
3
0
2
2
20,775
train
263
0
50
0
3
18
3
0
3
3
3
3
3
5
0
5
1
2
3
24,208
train
1,256
0
54
1
3
13
3
1
3
4
1
3
0
4
1
5
0
1
2
20,984
train
2,056
0
31
0
1
16
3
1
4
4
1
5
1
3
0
2
0
2
2
21,750
train
2,076
0
41
1
3
15
2
1
3
3
3
3
1
4
1
2
0
1
3
23,189
train
107
0
34
1
1
15
2
1
3
2
0
5
1
8
0
3
1
2
1
21,821
train
3,073