readme: ---
  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.
  