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LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: a neural network architecture that learns univariate decision rules -
Shifts Tabular Weather Prediction dataset
The Shifts Tabular Weather Prediction dataset consists of pairs of meteorological features and target values at a particular latitude/longitude and time. -
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced...
The paper considers credit-related decisions in the financial industry, which heavily relies on ML for decision support. Class imbalance is a common problem in supervised... -
Intrusion dataset
The dataset used in this paper is the Intrusion dataset, which comprises 494,021 samples and 39 information characteristics used to classify connections in a military network... -
King dataset
The dataset used in this paper is the King dataset, which is a regression dataset containing 21,613 house sale prices for King County, Washington, including Seattle. -
News dataset
The dataset used in the paper is a semi-synthetic news dataset, which simulates a dynamic ranking problem on a set of news articles belonging to two groups (left-leaning and... -
MNIST and Lending Club Loan datasets
The MNIST dataset is used for image classification, and the Lending Club Loan dataset is used for tabular data. -
Adult dataset
A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...
