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50 Classification Data Sets
The dataset used in the paper is a collection of 50 classification data sets downloaded from the UCI Machine Learning Repository. -
Breast Cancer Wisconsin (Diagnostic) and Landsat Satellite Data Sets
The dataset used in this paper is the Breast Cancer Wisconsin (Diagnostic) and the Landsat Satellite Data Sets from the UCI repository. -
Sparse Linear Isotonic Models
The dataset used in this paper is a high-dimensional dataset with a sparse linear isotonic model (SLIM). -
Colored MNIST dataset
The dataset used in the paper is a binary classification task in a 300-dimensional space. The procedure for generating the training dataset is as follows: Each label y ∈ {−1, 1}...