A logistic regression model for health insurance purchasing prediction

ShawnWang

Last update: Nov 29, 2021

Related tags

Machine Learning Logistic_Regression

Overview

Logistic_Regression_Model

A logistic regression model for health insurance purchasing prediction

This code is using these packages, so please make sure your have installed them:

a. numpy
b. pandas (please use the latest version: 1.3.3, lower version may cause some error)
c. matplotlib
d. math
If you found you have trouble with updating python or those packages, you can create anaconda environment to do so. Here is a link of the instruction to set up and use anaconda environment:

https://stackoverflow.com/questions/28852841/install-anaconda-on-ubuntu-or-linux-via-command-line

If use anaconda environment, you should use the following command to activate the anaconda environment:
```
conda activate
```
File description

HealthInsurance_LR.py: The model file

HealthInsurance_train.csv: The training set

HealthInsurance_dev.csv: The validation set

Competition_test.csv: The "real" data set, who has no correct prediction value

Above are using files, so make sure to let them in the same directory, the code is using relative path.

The rest of files are generated by the code.

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A logistic regression model for health insurance purchasing prediction

Related tags

Overview

Logistic_Regression_Model

A logistic regression model for health insurance purchasing prediction

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