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In order to test an algorithm, I am looking for a reference data set for ridge regression in research papers. Kind of like the equivalent of MNIST but for regression.

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Try using the Boston house data set.

import pandas as pd
from sklearn.datasets import load_boston

boston = load_boston()
boston_df = pd.DataFrame(boston.data, columns = boston.feature_names)
boston_df.insert(0, 'Price', boston.target)

Then you can use Ridge Regression to predict the housing prices from the other features in the data set.

Source: https://towardsdatascience.com/ridge-and-lasso-regression-a-complete-guide-with-python-scikit-learn-e20e34bcbf0b

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  • $\begingroup$ Thanks you very much but there is not enough data in this dataset, I was thinking more of a number of data in the same range as mnist $\endgroup$ – Marie Apr 3 '20 at 22:06
  • $\begingroup$ You might try looking through some of the datasets here: vincentarelbundock.github.io/Rdatasets/datasets.html $\endgroup$ – Derek O Apr 4 '20 at 1:19

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