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.
Derek O
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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 – Marie Apr 03 '20 at 22:06
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You might try looking through some of the datasets here: https://vincentarelbundock.github.io/Rdatasets/datasets.html – Derek O Apr 04 '20 at 01:19