fmf (version 1.1.1)

ozone: 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)

References

https://archive.ics.uci.edu/ml/datasets/Ozone+Level+Detection

Examples

# NOT RUN {
data(ozone)

X = ozone[, -1]

y = ozone[, 1]
# }