51 datasets found

The dataset used for the experiments in the paper, containing 28,147 compounds with a simple rule for classification.

The SQF dataset is a dataset used for classification tasks, and it contains sensitive attributes such as race.

The dataset used in this paper is a collection of wine quality classification problems.

The dataset used in this paper is a collection of ionosphere classification problems.

The dataset used in the paper is a mushroom classification problem with 8124 instances.

PROBEN1 is a set of neural network problems and benchmarking rules.

Hyperspectral images classification is a high technical remote sensing software. The purpose is to reproduce a thematic map. The HSI contains more than a hundred hyperspectral...

The MNIST data set is a dataset used for testing the performance of the DisDF.

The Ionosphere data set is a dataset used for testing the performance of the DisDF.

The Ecoli data set is a dataset used for testing the performance of the DisDF.

The Parkinsons data set is a dataset used for testing the performance of the DisDF.

The dataset used in this paper is the Brightdata dataset.

The dataset used in this paper is the Australian Credit dataset.

The dataset used in the paper is a collection of 6 publicly available datasets from the UCI Machine Learning repository.

The dataset used in the paper is a collection of 6 publicly available datasets from the UCI Machine Learning repository.

The dataset used in the paper is a collection of 6 publicly available datasets from the UCI Machine Learning repository.

The dataset used in the paper is a collection of 6 publicly available datasets from the UCI Machine Learning repository.

The dataset used in the paper is a multi-spin system that performs classification tasks.

The Admissions dataset is a classification problem in the university admissions category. The instances are sought to predict admissions based on various features.

The Outages dataset is a classification problem in the small dataset category. The instances are sought to predict outages based on various features.