Learning From Imbalanced Insurance Data

Cross-sell Prediction

@kaggle.arashnic_imbalanced_data_practice

Table List

3 tables(6.2 MB)

Aug Test

Aug Train

Sample Submission

Aug Test

@kaggle.arashnic_imbalanced_data_practice.aug_test

1.12 MB
78273 rows
11 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
57782	Female	34	1	39	1	1-2 Year	No	38244	124	146
286811	Female	55	1	28		> 2 Years	Yes	37577	122	109
117823	Male	39	1	28	1	1-2 Year	No	24578	26	63
213992	Male	28	1	50	1	1-2 Year	No	40507	8	129
324756	Female	24	1	10		< 1 Year	Yes	36783	152	201
425764	Male	33	1	8	1	< 1 Year	No	55980	152	274
2934	Male	50	1	18		1-2 Year	Yes	36100	26	92
99098	Male	55	1	47		1-2 Year	Yes	21857	26	87
120076	Male	60	1	28	1	1-2 Year	Yes	37726	122	214
272687	Male	44	1	35	1	1-2 Year	No	28932	26	12


CREATE TABLE aug_test (
  "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
);