How to use pipeline for polynomial regression in sklearn?

by Amrita Mitra | Jan 13, 2023 | AI, Machine Learning and Deep Learning, Featured, Machine Learning Using Python, Python Scikit-learn, Statistics For Machine Learning

Polynomial Regression Using Pipeline In Sklearn

test set.

pipeline.fit(X_train, y_train)
y_test_predicted = pipeline.predict(X_test)

Finally, we are calculating the R-squared score and the Root Mean Square Error (RMSE) of the model.

The output of the above program will be:

    mpg  cylinders  displacement  ...  model_year  origin                       name
0  18.0          8         307.0  ...          70     usa  chevrolet chevelle malibu
1  15.0          8         350.0  ...          70     usa          buick skylark 320
2  18.0          8         318.0  ...          70     usa         plymouth satellite
3  16.0          8         304.0  ...          70     usa              amc rebel sst
4  17.0          8         302.0  ...          70     usa                ford torino

[5 rows x 9 columns]
R2:  0.6913464595250509
RMSE:  4.6256421930191784

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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by Amrita Mitra | October 3, 2023 | Featured, Linear Algebra | 0 Comments

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