multi-output regression datasets

Citation Author(s):
Chunyu
Wang
Victoria University of Wellington
Submitted by:
Chunyu Wang
Last updated:
Thu, 10/03/2024 - 01:33
DOI:
10.21227/786h-pc74
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Abstract 

you can download these datasets from OpenML: https://www.openml.org/search?type=data&status=active&tags.tag=2019_mult...

EDM: 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.

WQ: The Water Quality dataset (Dzeroski et al. 2000) has 14 target attributes that refer to the relative representation of plant and animal species in Slovenian rivers and 16 input attributes that refer to physical and chemical water quality parameters.

ENB: The Energy Building dataset (Tsanas and Xifara 2012) concerns the prediction of the heating load and cooling load requirements of buildings (i.e. energy efficiency) as a function of eight building parameters such as glazing area, roof area, and overall height, amongst others.

Instructions: 

Use python or download from the OpenML website "https://www.openml.org/search?type=data&status=active&tags.tag=2019_mult...". 

Dataset Files

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