insurance_charges: Data for insurance premium prediction
In jmsallan/BAdatasets: Datasets for a Business Analytics Course
insurance_charges R Documentation
Data for insurance premium prediction
Description
A dataset to predict the insurance premium (charges).
Usage
insurance_charges
Format
A data frame with 1338 observations (rows) and 7 features (columns). The dataset contains four numerical features (age, bmi, children and expenses) and three nominal features (sex, smoker and region) converted into factors with numerical value designated for each level. The variable to predict is charges.
Source
https://www.kaggle.com/noordeen/insurance-premium-prediction. Original source was from the Machine Learning course website (Spring 2017) from Professor Eric Suess.
Examples
insurance_charges
jmsallan/BAdatasets documentation built on May 7, 2024, 11:45 a.m.
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| insurance_charges | R Documentation |
Data for insurance premium prediction
Description
A dataset to predict the insurance premium (charges).
Usage
insurance_charges
Format
A data frame with 1338 observations (rows) and 7 features (columns). The dataset contains four numerical features (age, bmi, children and expenses) and three nominal features (sex, smoker and region) converted into factors with numerical value designated for each level. The variable to predict is charges.
Source
https://www.kaggle.com/noordeen/insurance-premium-prediction. Original source was from the Machine Learning course website (Spring 2017) from Professor Eric Suess.
Examples
insurance_charges
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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