Infoaid Tech

[AndrajuBhanuPrakash]

from ucimlrepo import fetch_ucirepo, list_available_datasets

check which datasets can be imported

list_available_datasets()

import dataset

heart_disease = fetch_ucirepo(id=45)

alternatively: fetch_ucirepo(name='Heart Disease')

access data

X = heart_disease.data.features
y = heart_disease.data.targets

sklearn.linear_model.LinearRegression().fit(X, y)

access metadata

print(heart_disease.metadata.uci_id)
print(heart_disease.metadata.num_instances)
print(heart_disease.metadata.additional_info.summary)

access variable info in tabular format

print(heart_disease.variables)

[ptruong0]

Could you please provide more details on your issue? If you are referring to the sklearn.linear_model.LinearRegression().fit(X, y) line, you need to perform some preprocessing first on the dataset, such as imputation of NaN values.