63 datasets found

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...

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 for regression settings, including Ozone, Machine, MPG, Boston, Student, and Abalone.

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

The Airbnb dataset is a large dataset containing information about apartments for rent in Chicago. The dataset includes features such as neighborhood, number of beds, amenities,...

The dataset used in the paper is a Bayesian network with a non-conjugate polynomial regression model, with global-only latent variables.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

The California Housing Dataset is a dataset containing information about housing prices in California, with nine features and a target variable of median house price.

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,...