AV JanataHack Cross-Sell Prediction

Janata Hack Cross-Sell

@kaggle.jinxzed_av_janatahack_crosssell_prediction

Table List

3 tables(6.64 MB)

Sample

Test

Train

Train

@kaggle.jinxzed_av_janatahack_crosssell_prediction.train

4.23 MB
381109 rows
12 columns

id Id	gender Gender	age Age	driving_license Driving License	region_code Region Code	previously_insured Previously Insured	vehicle_age Vehicle Age	vehicle_damage Vehicle Damage	annual_premium Annual Premium	policy_sales_channel Policy Sales Channel	vintage Vintage	response Response
1	Male	44	1	28		> 2 Years	Yes	40454	26	217	1
2	Male	76	1	3		1-2 Year	No	33536	26	183
3	Male	47	1	28		> 2 Years	Yes	38294	26	27	1
4	Male	21	1	11	1	< 1 Year	No	28619	152	203
5	Female	29	1	41	1	< 1 Year	No	27496	152	39
6	Female	24	1	33		< 1 Year	Yes	2630	160	176
7	Male	23	1	11		< 1 Year	Yes	23367	152	249
8	Female	56	1	28		1-2 Year	Yes	32031	26	72	1
9	Female	24	1	3	1	< 1 Year	No	27619	152	28
10	Female	32	1	6	1	< 1 Year	No	28771	152	80


CREATE TABLE train (
  "id" BIGINT,
  "gender" VARCHAR,
  "age" BIGINT,
  "driving_license" BIGINT,
  "region_code" DOUBLE,
  "previously_insured" BIGINT,
  "vehicle_age" VARCHAR,
  "vehicle_damage" VARCHAR,
  "annual_premium" DOUBLE,
  "policy_sales_channel" DOUBLE,
  "vintage" BIGINT,
  "response" BIGINT
);