The donation includes 5 datasets, each of them defining a different learning problem: * LP1: failures in approach to grasp position * LP2: fail...
time-series, multivariate, classificationThe data was collected by the Magellan spacecraft over an approximately four year period from 1990--1994. The objective of the mission was to obtain glo...
image, classificationThe database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the cent...
multivariate, classificationApproximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%. The...
multivariate, classificationThe file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. Th...
multivariate, classificationThe data sets we propose to analyse are constituted of 1024 vectors, each vector includes 10 parameters. You can think of it as a 1024*10 matrix. To pro...
multivariateThe data are MC generated (see below) to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope us...
multivariate, classificationIn [Cortez and Morais, 2007], the output 'area' was first transformed with a ln(x+1) function. Then, several Data Mining methods were applied. After ...
regression, multivariateNumber of instances 1030 Number of Attributes 9 Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable Missing Attribut...
regression, multivariateFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the t...
time-series, multivariate, classification, sequential