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medical-cost-analysis's Introduction

Medical-Cost-Analysis

Dataset: https://www.kaggle.com/datasets/mirichoi0218/insurance

Aim

Predict insurance costs

Variables

age: age of primary beneficiary

sex: insurance contractor gender, female, male

bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height,objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9

children: Number of children covered by health insurance / Number of dependents

smoker: Smoking

region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest.

charges: Individual medical costs billed by health insurance

Test RKARE

Modelin bağımsız değişkenlerin bağımlı değişkeni açıklama yüzdesi %84 dir.

Test RMSE:4251.28

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