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To call the database: from sklearn.datasets import fetch_openml diabetes = fetch_openml(data_id=37) Write code to train a logistic regression model for the dataset. Split the dataset
To call the database:
from sklearn.datasets import fetch_openml
diabetes = fetch_openml(data_id=37)
Write code to train a logistic regression model for the dataset. Split the dataset into a training set and a test set, and do not use cross-validation. Display the test score of the model.
And
Write code to train a naive bayes model for the dataset, and find the test score of the model using 10-fold cross-validation.
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