| ozone {fmf} | R Documentation |
Ozone Level Detection Data Set
Description
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond, Knowledge and Information Systems, Vol. 14, No. 3, 2008. Discusses details about the dataset, its use as well as various experiments (both cross-validation and streaming) using many state-of-the-art methods.
A shorter version of the paper (does not contain some detailed experiments as the journal paper above) is in: Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. ICDM 2006: 753-764
Usage
data(ozone)Format
A data frame with 2536 Instances and 73 attributes (including the class attribute, "Class": ozone day, normal day)
Details
The following are specifications for several most important attributes that are highly valued by Texas Commission on Environmental Quality (TCEQ). More details can be found in the two relevant papers.
– O 3 - Local ozone peak prediction – Upwind - Upwind ozone background level – EmFactor - Precursor emissions related factor – Tmax - Maximum temperature in degrees F – Tb - Base temperature where net ozone production begins (50 F) – SRd - Solar radiation total for the day – WSa - Wind speed near sunrise (using 09-12 UTC forecast mode) – WSp - Wind speed mid-day (using 15-21 UTC forecast mode)
Source
Kun Zhang zhang.kun05 '@' gmail.com Department of Computer Science, Xavier University of Lousiana
Wei Fan wei.fan '@' gmail.com IBM T.J.Watson Research
XiaoJing Yuan xyuan '@' uh.edu Engineering Technology Department, College of Technology, University of Houston
References
https://archive.ics.uci.edu/ml/datasets/Ozone+Level+Detection
Examples
data(ozone)
X = ozone[, -1]
y = ozone[, 1]