The data set contains features for binary prediction of whether a loan will be approved or not.

The partial data has 21668 records with 26 features and one binary target column, referring to whether the specified loan was approved. The partial data set contains the records from the years 2017,2018 for the months of June, July and August. The train set are the records from 2017 and the test set consists of the records from 2018.

This is a partial copy of the dataset supplied in: https://www.kaggle.com/datasets/wordsforthewise/lending-club

The typical ML task in this dataset is to build a model that determines whether a loan will be approved.

For further details regarding the dataset features see https://figshare.com/articles/dataset/Lending_club_dataset_description/20016077


load_data([data_format, as_train_test])

Load and returns part of the Lending club dataset (classification).


Load and return a fitted classification model.