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edm

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Dataset:6035477

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OpenML41477MaRDI QIDQ6035477

OpenML dataset with id 41477

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/21230434/edm.arff

Upload date: 14 March 2019

Dataset Characteristics

Number of features: 18 (numeric: 18, symbolic: 0 and in total binary: 0 )
Number of instances: 154
Number of instances with missing values: 0
Number of missing values: 0

Description

Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Electrical Discharge Machining dataset (Karalic and Bratko 1997) represents a two-target regression problem. The task is to shorten the machining time by reproducing the behaviour of a human operator that controls the values of two variables. Each of the target variables takes 3 distinct numeric values ( -1,0,1 ) and there are 16 continuous input variables.

This page was built for dataset: edm

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