73 datasets found

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  • Iris dataset

    The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples...

  • Temporal Data Mining

    The dataset used in this study consists of three clinical datasets: oncology, hepatitis, and diabetes.

  • poker

    The dataset used in the paper is a classification dataset, specifically poker.

  • tic-tac-toe, breast-cancer, poker, and mnist

    The dataset used in the paper is a classification dataset, specifically tic-tac-toe, breast-cancer, poker, and mnist.

  • ScanObjectNN

    Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

  • Abalone

    The Abalone dataset has 4177 observation 8 covariates. Sex is a nominal variable with 3 categories: Male, Female and Infant. Length (mm) is the longest shell measurement,...

  • COMPAS Dataset

    The COMPAS recidivism dataset contains 6,167 samples, and the task is to predict the recidivism of an individual based on criminal history, with the binary protected attribute...

  • Adult dataset

    A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...

  • Mushroom Dataset

    The mushroom dataset is a classification dataset containing 8124 instances.

  • Mobile Features Dataset

    The Mobile Features Dataset is used to test the proposed method.

  • Bank Marketing

    The dataset comprises of phone call records of a marketing campaign run by a Portuguese bank. The marital status of the clients is considered feature to ensure fairness.

  • S3DIS

    The dataset used in the paper is a real-world 3D point cloud dataset, which is used for 3D shape classification, part segmentation, and shape retrieval tasks.

  • ModelNet40

    Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...