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
30
1
3
10
3
0
4
4
1
3
0
3
0
2
0
1
2
24,239
train
2,374
0
41
1
3
8
2
1
2
3
4
4
2
2
0
3
1
1
0
31,015
train
1,393
1
29
1
3
29
2
0
2
4
3
5
1
2
0
3
1
1
3
22,336
train
1,812
0
52
1
1
9
3
1
3
6
1
4
1
7
0
2
0
1
2
24,160
train
2,186
0
30
1
1
34
3
0
4
4
1
3
0
6
0
2
1
1
2
23,013
train
2,433
1
29
0
3
20
1
0
3
4
1
4
3
7
0
3
1
1
2
22,545
train
4,088
0
33
1
1
11
2
1
2
4
3
3
1
5
0
3
0
0
3
22,119
train
627
0
29
0
3
7
2
1
3
5
1
3
1
3
1
1
0
1
2
25,512
train
3,150
0
43
0
1
35
1
0
3
5
1
3
1
2
0
3
0
2
2
23,201
train
3,627
1
32
0
1
10
2
0
3
4
0
3
3
3
0
4
1
2
1
22,762
train
2,889
0
18
0
1
20
3
0
2
3
0
3
2
2
0
5
1
0
1
16,514
train
1,024
0
33
1
1
17
3
1
2
4
3
3
2
4
0
1
0
1
3
29,922
train
2,882
0
39
1
1
12
3
1
2
4
3
5
1
5
0
4
1
0
3
24,991
train
1,147
0
50
0
1
28
3
1
2
5
4
3
2
2
1
1
1
1
0
29,411
train
849
0
49
0
1
16
2
0
2
3
2
5
2
1
1
3
0
1
4
33,665
train
1,385
0
37
1
1
7
2
0
3
4
1
4
0
2
0
5
0
1
2
23,906
train
2,451
0
59
1
1
8
2
0
3
4
4
3
2
4
1
5
0
2
0
28,726
train
592
0
35
1
1
12
3
0
3
5
3
5
2
4
0
1
1
2
3
30,309
train
3,358
0
38
1
1
7
1
0
3
4
3
3
3
6
0
5
1
1
3
26,169
train
3,673
0
52
1
1
18
1
0
3
5
4
4
2
5
0
1
0
2
0
31,820
train
2,788
0
36
1
1
18
3
1
3
4
0
3
1
2
1
5
0
1
1
21,338
train
3,203
1
32
0
1
36
3
1
4
5
0
4
3
2
0
3
1
3
1
22,157
train
2,151
1
23
0
1
11
1
1
4
5
0
3
3
7
0
5
0
1
1
22,572
train
3,654
0
28
1
1
14
2
0
3
3
0
3
2
2
0
4
1
1
1
18,310
train
1,384
0
31
0
1
9
3
1
3
3
3
3
1
1
0
4
1
0
3
28,675
train
1,347
0
44
1
1
14
2
1
3
1
0
3
1
3
1
3
1
0
1
17,818
train
1,652
0
39
1
1
6
3
1
2
1
3
3
1
1
0
3
1
0
3
24,613
train
1,397
0
44
1
2
6
2
0
2
3
0
3
1
5
1
3
1
0
1
18,195
train
938
0
33
1
1
13
2
1
3
4
0
3
3
5
0
1
0
2
1
21,716
train
3,408
1
39
0
1
8
2
1
2
3
4
3
1
1
0
3
1
0
0
27,169
train
1,794
0
34
1
1
16
3
1
3
4
0
3
0
2
0
2
1
1
1
21,459
train
2,717
0
32
0
3
12
3
0
3
4
0
4
1
3
0
3
0
2
1
21,467
train
2,179
0
43
1
1
19
3
1
3
4
0
4
1
2
0
1
1
2
1
21,444
train
3,056
0
42
0
1
9
2
0
4
5
1
3
3
4
1
1
0
1
2
25,489
train
3,668
0
34
1
3
15
3
1
3
4
1
3
1
2
0
1
0
1
2
25,782
train
3,703
0
34
1
2
9
2
1
3
4
0
3
0
3
0
2
0
1
1
22,278
train
2,699
1
50
1
3
18
3
0
3
4
3
3
1
3
0
4
0
1
3
26,332
train
3,801
0
43
1
3
22
3
0
3
3
4
3
0
6
1
3
0
1
0
31,064
train
191
0
31
1
1
13
2
1
2
3
1
3
1
4
0
3
1
0
2
20,915
train
46
0
37
1
1
6
2
0
2
4
1
3
0
2
0
2
1
1
2
21,474
train
678
0
26
0
1
6
2
0
2
3
1
4
1
2
0
5
1
1
2
21,397
train
1,375
0
38
1
1
17
2
0
3
4
0
5
1
2
1
3
1
2
1
21,460
train
2,438
0
58
1
1
7
3
1
3
4
1
3
0
4
0
3
1
2
2
25,433
train
2,241
0
45
0
3
12
3
0
2
4
3
3
3
7
0
4
1
0
3
23,865
train
175
0
52
1
1
10
3
0
4
4
4
4
2
5
0
5
1
2
0
32,412
train
3,425
0
30
1
1
26
1
1
3
4
1
3
1
6
0
5
1
1
2
22,940
train
3,664
0
33
1
1
10
2
0
3
4
3
3
2
5
0
1
1
1
3
29,837
train
3,733
0
56
0
1
9
2
1
4
4
3
4
1
5
0
1
0
2
3
29,654
train
3,965
0
39
1
1
22
2
1
4
5
3
3
1
2
1
5
1
2
3
30,188
train
2,223
0
37
1
1
8
1
0
4
6
3
5
1
4
1
1
1
1
3
28,930
train
4,052
1
21
1
1
16
2
0
2
4
0
5
2
2
0
3
0
1
1
16,416
train
1,767
0
29
0
3
6
3
0
2
3
3
3
0
2
0
3
1
0
3
22,918
train
183
0
26
0
1
12
2
1
3
1
0
3
1
1
0
4
1
1
1
17,544
train
1,060
0
43
1
1
12
3
0
2
4
2
3
1
1
0
3
1
1
4
34,392
train
1,039
0
31
1
1
14
2
1
3
4
1
3
1
3
0
5
1
2
2
22,169
train
2,708
0
40
1
1
10
3
0
2
3
2
3
0
2
0
5
0
1
4
34,033
train
149
0
39
0
2
9
2
1
4
4
0
4
1
7
0
3
1
3
1
21,270
train
3,080
0
40
1
1
20
3
1
2
4
2
3
2
2
0
3
1
1
4
34,626
train
1,795
1
32
0
1
27
2
1
4
4
3
3
1
5
0
3
1
1
3
28,502
train
3,650
0
23
0
1
33
2
0
3
5
0
3
1
3
1
3
0
1
1
21,492
train
2,938
0
30
1
1
9
2
1
4
4
0
4
1
2
0
4
1
1
1
21,381
train
3,316
0
32
1
3
14
2
1
3
5
3
3
1
2
0
3
1
1
3
30,235
train
3,665
0
35
1
1
14
2
0
3
4
3
4
2
2
0
5
0
1
3
30,672
train
3,271
0
30
1
1
14
3
0
4
5
0
3
1
8
0
5
1
1
1
21,210
train
2,511
0
43
1
1
18
2
1
2
4
4
4
1
2
0
3
1
1
0
29,336
train
1,468
0
34
0
1
9
2
1
2
3
1
3
3
1
0
1
1
0
2
22,756
train
1,778
1
41
1
3
26
3
0
3
3
0
4
2
2
1
4
0
2
1
18,140
train
147
0
35
0
3
5
2
1
3
3
3
5
1
2
0
4
0
0
3
24,069
train
1,195
0
60
0
3
34
3
0
3
4
3
5
0
5
0
2
1
0
3
25,266
train
345
0
39
0
1
9
2
1
3
4
0
3
1
3
1
5
1
1
1
20,380
train
3,630
0
27
1
1
7
2
0
3
5
0
3
1
3
1
4
0
1
1
21,611
train
3,136
0
39
1
3
8
2
1
2
1
3
3
3
1
0
2
1
1
3
22,880
train
564
0
38
0
1
18
2
1
1
4
1
5
1
3
0
5
1
0
2
21,288
train
1,634
0
42
1
3
13
2
0
4
4
3
3
2
5
1
1
0
1
3
32,269
train
3,449
0
32
1
3
14
2
1
3
5
3
3
1
2
0
3
1
1
3
30,235
train
2,328
1
46
1
3
15
3
1
3
4
3
3
3
2
0
5
1
2
3
24,619
train
1,221
1
26
1
1
16
2
1
3
4
0
5
2
5
0
1
1
1
1
20,774
train
4,093
0
42
1
1
23
2
0
2
2
1
5
3
4
1
2
0
0
2
21,545
train
205
0
53
1
1
11
2
0
2
3
2
3
1
5
0
5
0
1
4
34,094
train
20
0
44
1
1
13
3
0
2
4
3
3
1
4
0
4
0
0
3
25,248
train
1,172
0
43
1
1
9
2
1
4
5
1
3
3
5
0
1
1
1
2
25,459
train
3,574
0
38
0
1
9
2
1
4
5
1
3
1
7
0
2
0
2
2
23,841
train
2,014
0
35
1
3
14
2
0
3
3
0
3
0
2
0
3
0
0
1
17,572
train
464
0
21
1
1
21
2
1
3
3
0
3
2
2
0
5
1
1
1
16,232
train
1,168
0
30
1
3
8
1
1
3
3
0
4
0
2
0
3
1
2
1
17,476
train
310
0
44
0
1
17
2
0
3
5
1
3
1
3
0
3
0
1
2
23,935
train
2,212
0
33
1
1
13
2
1
3
4
0
3
3
5
0
2
0
2
1
21,716
train
2,072
1
29
1
3
15
3
0
2
5
0
4
2
2
0
1
1
1
1
17,760
train
974
0
36
1
3
24
2
1
4
4
1
5
1
5
1
3
0
3
2
27,644
train
4,040
0
38
0
1
18
2
1
2
4
1
5
1
3
0
5
1
0
2
21,288
train
485
1
41
1
3
6
2
0
3
3
1
3
2
1
1
4
0
2
2
20,993
train
1,150
1
20
0
1
17
3
0
4
5
0
4
2
3
1
5
1
2
1
20,537
train
2,726
0
29
1
3
12
3
1
3
4
1
5
3
2
0
1
1
1
2
27,141
train
2,851
1
29
0
1
7
3
1
3
5
0
4
1
3
0
4
0
1
1
21,274
train
2,640
1
38
0
1
15
2
1
3
3
1
5
1
5
0
3
0
2
2
21,893
train
1,905
0
37
1
1
6
2
0
2
3
0
3
2
2
0
1
1
0
1
17,115
train
1,380
0
43
1
1
8
3
0
3
1
0
3
1
2
0
1
1
2
1
17,645
train
1,179
0
31
0
1
13
2
0
2
4
3
3
1
2
0
1
1
0
3
23,943
train
1,414
0
33
0
1
12
1
1
4
4
0
4
3
4
0
3
1
2
1
21,396
train
3,053
0
55
1
1
8
3
0
2
5
2
3
0
5
0
4
1
1
4
34,187
train
754