8 datasets found

LEURN: a neural network architecture that learns univariate decision rules

The Shifts Tabular Weather Prediction dataset consists of pairs of meteorological features and target values at a particular latitude/longitude and time.

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...

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...

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.

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...

The MNIST dataset is used for image classification, and the Lending Club Loan dataset is used for tabular data.

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...