Model description

This is a regression model on MPG dataset trained.

Intended uses & limitations

This model is not ready to be used in production.

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

Click to expand

Hyperparameter	Value
copy_X	True
fit_intercept	True
n_jobs
normalize	deprecated
positive	False

Model Plot

The model plot is below.

LinearRegression()

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Evaluation Results

You can find the details about evaluation process and the evaluation results.

Metric	Value
Mean Squared Error	5.01069
R-Squared	0.883503

How to Get Started with the Model

Use the code below to get started with the model.

import joblib
import json
import pandas as pd
clf = joblib.load(linreg.pkl)
with open("config.json") as f:
    config = json.load(f)
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))

Model Card Authors

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Model Card Contact

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Citation

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BibTeX:

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