63 datasets found

The PennML benchmark suite consists of over 90 regression problems and provides a performance overview of several common regression algorithms.

The dataset used in the paper for hyper-parameter tuning using transient cloud resources.

The dataset used in the paper for hyper-parameter tuning using transient cloud resources.

The dataset used in the paper is Zillow.

The dataset used in the paper is AutoML-3, OnlineNewsPop, MNIST-0, MNIST-4, and Zillow.

The dataset used in the paper is a SARCOS regression dataset, which contains 44,484 training samples and 4,449 testing samples.

The dataset used in this paper is the Brightdata dataset.

The dataset used in the paper is a regression dataset with exchangeable data.

The dataset used in the paper is a motorcycle dataset, which is used to evaluate the proposed algorithm.

The ImbR data set consists of regression data set with 1000 cases and two features, X1 (numeric) and X2 (numeric). The target variable, denoted as Tgt, has a continuous...

The dataset used in the paper is a real-world dataset for housing prices.

The dataset used in the paper is a synthetic dataset for regression tasks with corrupted data and heavy-tailed noise.

The Body Fat dataset is a regression problem in the simple machine learning dataset category. The instances are sought to predict body fat percentage based on body characteristics.

The shootout dataset is a regression dataset containing information about the reflectance spectra of pharmaceutical tablets.

The auto-mpg dataset is a regression dataset containing information about the fuel efficiency of various car models.

Inverse Sine Wave dataset

The Ames housing data contains information about houses in the Ames, Iowa neighborhood, including the number of bedrooms, square footage, and other features.

The 1-dimensional toy dataset is a small dataset of regression tasks, each task represented by a single value.

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 4 comes from a real-world application, that is, computer activity...

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 3 contains 1020 instances. Both the training and test sets are formed...