JohnsRun/Data-Science-Nigeria-Insurance-Claim

A machining learning problem which involves building a predictive model that can provide the total amount of claim by a customer in seconds # Data-Science-Nigeria-Insurance-Claim A machining learning problem which involves building a predictive model that can provide the total amount of claim by a customer in seconds ## The dataset contains these variables as explained below: ## File descriptions customer_ID - System-generated unique customerID months_as_customer - number of months a the insured as been a customer age - customer age insured_education_level - Most recent customers educational qualification insured_sex - gender insured_occupation - occupation of insured insured_hobbies - hobbies of insured insured_relationship - insured relationship capital-gains - capital gain capital-loss - capital-loss policy_number - policy_number policy_bind_date - policy blind insurance coverage policy_state -policy_state policy_csl - policy_csl policy_deductable -policy_deductable incident_location - incident_location incident_hour_of_the_day - incident_hour_of_the_day? number_of_vehicles_involved -number_of_vehicles_involved property_damage - property_damage bodily_injuries - bodily_injuries policy_annual_premium - policy_annual_premium umbrella_limit - umbrella_limit insured_zip -insured_zip incident_date - incident_date incident_type - incident_type collision_type - collision_type incident_severity - incident_severity authorities_contacted - authorities_contacted incident_state -incident_state incident_city - incident_city witnesses - witnesses police_report_available - police_report_available auto_make - auto_make auto_model - auto_model auto_year -auto_year _c39 - _c39 total_claim_amount - total_claim_amount ## Evalutation Root Mean Squared Error or RMSE is the standard deviation of the errors which occur when a prediction is made on a dataset. This is the same as MSE Mean Squared Error but the root of the value is considered while determining the predictive performance of the model.