14 datasets found

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

The dataset used in the paper for instruction tuning of Large Language Models (LLMs) during instruction tuning.

The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

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]....

Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on...

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

A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for...

The dataset used for MNIST and Fashion MNIST binary classification tasks

The dataset used in this paper is a logistic regression problem with 20,000 training examples and 10,000 testing examples.

Two datasets for binary image classification: Jasmine and Basmati, and Arborio and Karacadag.

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...

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...

The Visual Wake Words dataset is a binary classification dataset for detecting the presence of a person in an image.