25 datasets found

The dataset is a spam classification dataset containing 4,600 emails labeled as spam or not.

The Breast Cancer Wisconsin (Diagnostic) dataset is a collection of images of breast tissue, used for diagnostic purposes. The dataset consists of 569 images, each labeled with...

Fisher's 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...

Sensorless dataset

The shuttle dataset is used for anomaly clustering and visualization. It contains 9 numerical attributes and 7 classes.

A federated and continual learning framework for classification tasks in a society of devices

The avila dataset is used to evaluate the performance of our model.

The anuran and avila datasets are used to evaluate the performance of our model.

The cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The contraceptive, cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The iris, contraceptive, cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The proposed hybrid sampling framework for imbalanced learning

The dataset used in this study is the open-source location data of all players in broadcast video frames in football games of men’s Euro 2020 and women’s Euro 2022 competitions.

The dataset used in the paper is a Big Data classification problem.

The ModelNet-10 dataset is a benchmark for 3D point cloud classification and semantic segmentation. It contains 4,899 untextured CAD models divided into 10 categories.

The proposed processing pipeline encom- passes two fundamental parts: regions of interest mask generation, followed by the application of hyperspectral data processing...

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...

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

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

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