Source code for evalml.demos.churn

"""Load the churn dataset, which can be used for binary classification problems."""
import evalml
from evalml.preprocessing import load_data


[docs]def load_churn(n_rows=None, verbose=True): """Load churn dataset, which can be used for binary classification problems. Args: n_rows (int): Number of rows from the dataset to return verbose (bool): Whether to print information about features and labels Returns: (pd.Dataframe, pd.Series): X and y """ churn_data_path = ( "https://api.featurelabs.com/datasets/churn.csv?library=evalml&version=" + evalml.__version__ ) return load_data( path=churn_data_path, index="customerID", target="Churn", n_rows=n_rows, verbose=verbose, )