9 datasets found

The dataset used in the paper is a binary classification dataset.

The dataset used in this paper is a binary classification task, where the goal is to predict the probability of a positive label given a set of features.

The dataset used in this paper is a binary classification task on a multi-class crowdsourcing platform.

The dataset used in the paper is a 2-input XOR dataset, which is a binary classification problem.

ACSEmployment is another one of the five pre-defined tasks in the Folktables dataset [17]. We use the same subset from the state of California, USA for 2018 as above. The...

ACSIncome is one of the five pre-defined tasks in the Folktables dataset [17], which was recently collected to improve the older and commonly used UCI Adult Income dataset [19]....

The dataset used in the paper is a synthetic dataset for binary classification on the plane, generated using three different mechanisms: two Gaussians, sinusoid, and spiral.

The dataset used in this paper is a sine/square wave discrimination dataset.

The dataset used in the paper is the Covertype dataset, which is a binary classification problem with high-dimensional features.