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PennML Benchmark Suite
The PennML benchmark suite consists of over 90 regression problems and provides a performance overview of several common regression algorithms. -
YearPredictionMSD Dataset
The dataset used in the paper for hyper-parameter tuning using transient cloud resources. -
Epsilon Dataset
The dataset used in the paper for hyper-parameter tuning using transient cloud resources. -
AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow
The dataset used in the paper is AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow. -
SARCOS regression dataset
The dataset used in the paper is a SARCOS regression dataset, which contains 44,484 training samples and 4,449 testing samples. -
Brightdata dataset
The dataset used in this paper is the Brightdata dataset. -
Universal distribution of the coverage in split conformal prediction
The dataset used in the paper is a regression dataset with exchangeable data. -
Motorcycle Dataset
The dataset used in the paper is a motorcycle dataset, which is used to evaluate the proposed algorithm. -
Housing dataset
The dataset used in the paper is a real-world dataset for housing prices. -
Synthetic dataset for regression tasks with corrupted data and heavy-tailed n...
The dataset used in the paper is a synthetic dataset for regression tasks with corrupted data and heavy-tailed noise. -
IDRC 2002 Shootout
The shootout dataset is a regression dataset containing information about the reflectance spectra of pharmaceutical tablets. -
Inverse Sine Wave dataset
Inverse Sine Wave dataset -
Ames Housing dataset
The Ames housing data contains information about houses in the Ames, Iowa neighborhood, including the number of bedrooms, square footage, and other features. -
1-dimensional toy dataset
The 1-dimensional toy dataset is a small dataset of regression tasks, each task represented by a single value.
