---
license: bsd-3-clause
tags:
- sklearn
datasets:
- synthetic dataset from sklearn
metrics:
- type: accuracy
  value: 0.948
---

# Simple example using plain scikit-learn

## Reproducing the model

Inside a Python environment, install the dependencies listed in `requirements.txt` and then run:

``` bash
python train.py
```

The resulting model artifact should be stored in `model.pickle`.

## The model

The used model is a simple logistic regression trained through gradient descent.

## Intended use & limitations

This model is just for demonstration purposes and should thus not be used.

## Dataset

The dataset is entirely synthetic and has no real world origin.