8 datasets found

The Home Credit Default Risk dataset, used to test the fairness of algorithms.

The German credit risk dataset contains 1,000 samples with 9 attributes. The goal is to predict whether a client is highly risky, and the sensitive attribute in this dataset is...

The dataset used in the paper is a graph dataset, where each node represents a person and each edge represents a connection between two people. The dataset is used to evaluate...

The German dataset is a collection of 1,000 records, each containing information about an individual's credit history and demographic characteristics. The dataset is used for...

The dataset used in the paper for numeric data generation and classification.

The German credit dataset is a dataset used for classification tasks, and it contains sensitive attributes such as credit history.

The dataset used in this paper is the German dataset, which is a real-world UCI Machine Learning dataset extracted from a German bank for default prediction.

Each node is a client in a German bank, while each edge between any two clients represents that they bear similar credit accounts. Here the gender of bank clients is considered...