metadata
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:
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.