74 datasets found

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...

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) =...

Fisher's 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...

The dataset used in the paper is a synthetic dataset for ridge regression problem over a network of agents, modeled as a Erdos-Renyi graph with m = 30 nodes and edge probability...

Bank dataset from 2014. The dataset contains 41188 records of direct marketing campaigns of a Portuguese banking institution corresponding to each client contacted. We chose 6...

Crash risk prediction model based on Bayesian logistic regression.

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...