Model description

This is a Linear Regression model trained on diabetes dataset. This model could be used to predict the progression of diabetes. This model is pretty limited and should just be used as an example of how to user skops and Hugging Face Hub.

Intended uses & limitations

This model is made for educational purposes and is not ready to be used in production.

Training Procedure

[More Information Needed]

Hyperparameters

Click to expand
Hyperparameter Value
memory
steps [('scaler', StandardScaler()), ('linear_regression', LinearRegression())]
verbose False
scaler StandardScaler()
linear_regression LinearRegression()
scaler__copy True
scaler__with_mean True
scaler__with_std True
linear_regression__copy_X True
linear_regression__fit_intercept True
linear_regression__n_jobs
linear_regression__positive False

Model Plot

Pipeline(steps=[('scaler', StandardScaler()),('linear_regression', LinearRegression())])
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Evaluation Results

Metric Value
Mean Absolute Error 42.7941
Mean Squared Error 2900.19
R-Squared Score 0.452603

How to Get Started with the Model

[More Information Needed]

Model Card Authors

skops_user, lazarust

Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

bibtex @inproceedings{...,year={2022}}

Intended uses & limitations

This model is made for educational purposes and is not ready to be used in production.

Prediction Scatter

Prediction Scatter