Insurance Classification
Predictive Modeling for Risk Assessment in Insurance
@kaggle.endofnight17j03_insurance_classification
Predictive Modeling for Risk Assessment in Insurance
@kaggle.endofnight17j03_insurance_classification
Here's a brief description for each column in the dataset:
Age: Represents the age of the insured individual.
Sex: Indicates the gender of the insured individual (male or female).
BMI: Stands for Body Mass Index, a measure of body fat based on height and weight.
Children: Denotes the number of children or dependents covered by the insurance policy.
Smoker: Indicates whether the insured individual is a smoker or non-smoker.
Region: Represents the geographical region of the insured individual's residence.
Expenses: Represents the medical expenses incurred by the insured individual.
CREATE TABLE insurance_classification (
  "age" BIGINT,
  "sex" VARCHAR,
  "bmi" DOUBLE,
  "children" BIGINT,
  "smoker" VARCHAR,
  "region" VARCHAR,
  "expenses" DOUBLE
);Anyone who has the link will be able to view this.