Baselight

Analytics Vidhya Nov'22 Insurance Claims Dataset

Predict whether the policyholder will file a claim in the next 6 months or not.

@kaggle.avikumart_analytics_vidhya_nov22_insurance_claims_dataset

About this Dataset

Analytics Vidhya Nov'22 Insurance Claims Dataset

You are provided with information on policyholders containing the attributes like policy tenure, age of the car, age of the car owner, the population density of the city, make and model of the car, power, engine type, etc, and the target variable indicating whether the policyholder files a claim in the next 6 months or not.

Dataset was a part of dataverse hack - hackathon by analytics vidhya on the 14th of November, 2022.

Data Dictionary

You are provided with 3 files - train.csv, test.csv, and sample_submission.csv

Variable - Description

policy_id- Unique identifier of the policyholder
policy_tenure- Time period of the policy
age_of_car- Normalized age of the car in years
age_of_policyholder- Normalized age of policyholder in years
area_cluster- Area cluster of the policyholder
population density- Population density of the city (Policyholder City)
make- Encoded Manufacturer/company of the car
segment- Segment of the car (A/ B1/ B2/ C1/ C2)
model- Encoded name of the car
fuel_type- Type of fuel used by the car
max_torque- Maximum Torque generated by the car (Nm@rpm)
max_power- Maximum Power generated by the car (bhp@rpm)
engine_type- Type of engine used in the car
airbags- Number of airbags installed in the car
is_esc- Boolean flag indicating whether Electronic Stability Control (ESC) is present in the car or not.
is_adjustable_steering- Boolean flag indicating whether the steering wheel of the car is adjustable or not.
is_tpms- Boolean flag indicating whether Tyre Pressure Monitoring System (TPMS) is present in the car or not.
is_parking_sensors- Boolean flag indicating whether parking sensors are present in the car or not.
is_parking_camera- Boolean flag indicating whether the parking camera is present in the car or not.
rear_brakes_type- Type of brakes used in the rear of the car
displacement- Engine displacement of the car (cc)
cylinder- Number of cylinders present in the engine of the car
transmission_type- Transmission type of the car
gear_box- Number of gears in the car
steering_type- Type of the power steering present in the car
turning_radius- The space a vehicle needs to make a certain turn (Meters)
length- Length of the car (Millimetre)
width- Width of the car (Millimetre)
height- Height of the car (Millimetre)
gross_weight- The maximum allowable weight of the fully-loaded car, including passengers, cargo and equipment (Kg)
is_front_fog_lights- Boolean flag indicating whether front fog lights are available in the car or not.
is_rear_window_wiper- Boolean flag indicating whether the rear window wiper is available in the car or not.
is_rear_window_washer- Boolean flag indicating whether the rear window washer is available in the car or not.
is_rear_window_defogger- Boolean flag indicating whether rear window defogger is available in the car or not.
is_brake_assist- Boolean flag indicating whether the brake assistance feature is available in the car or not.
is_power_door_lock- Boolean flag indicating whether a power door lock is available in the car or not.
is_central_locking- Boolean flag indicating whether the central locking feature is available in the car or not.
is_power_steering- Boolean flag indicating whether power steering is available in the car or not.
is_driver_seat_height_adjustable- Boolean flag indicating whether the height of the driver seat is adjustable or not.
is_day_night_rear_view_mirror- Boolean flag indicating whether day & night rearview mirror is present in the car or not.
is_ecw- Boolean flag indicating whether Engine Check Warning (ECW) is available in the car or not.
is_speed_alert- Boolean flag indicating whether the speed alert system is available in the car or not.
ncap_rating- Safety rating given by NCAP (out of 5)
is_claim- Outcome: Boolean flag indicating whether the policyholder file a claim in the next 6 months or not.

Evaluation metric

The evaluation metric for this dataset would be the F1 score.

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