23 datasets found

The dataset used in this paper is the Brightdata dataset.

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

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.

Inverse Sine Wave dataset

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...

The dataset used in this paper is a regression problem, and it is a real-world regression task, that is, DB 2 contains 950 observations with nine input variables and one output...

The dataset used in this paper is a regression problem, and it is a function approximation example, that is, DB 1 was generated by a real-valued function [27]: f (x) =...

The Radon dataset is used to evaluate the performance of the proposed algorithm.

The dataset used in this paper is a sampled dataset for autoencoder-based regression models.

Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the two moons dataset for experiments.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a class of regression models GN.

Adult Census Income dataset is used to evaluate the fairness of deep learning models. It contains information about individuals in the United States, including age, sex,...

The S-curve dataset is a 1D curve embedded in 3D space.

The dataset used in the paper is a collection of UCI regression tasks and a network pretrained for face age estimation.

The SGEMM dataset is a regression task from the UCI repository.

The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Airfoil, Exchange-Rate, and Electricity datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, Tiny-Imagenet, and Imagenet datasets.