Data
ozone_level

ozone_level

active ARFF Publicly available Visibility: public Uploaded 20-08-2014 by Tobias Kuehn
0 likes downloaded by 1 people , 1 total downloads 2 issues 2 downvotes
Issue #Downvotes for this reason By
Missing default_target_attribute1User 970
Seems to be a classification problem1User 5824


Loading wiki
Help us complete this description Edit
Author: Source: Unknown - Please cite: 1. Title: Ozone Level Detection 2. 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 3. Past Usage: 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 4. Relevant Information: 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) 5. Number of Instances: 2536 6. Number of Attributes: 73 7. Attribute Information: 1,0 | two classes 1: ozone day, 0: normal day

73 features

Class (target)numeric2 unique values
0 missing
WSR0nominal69 unique values
0 missing
WSR1nominal71 unique values
0 missing
WSR2nominal66 unique values
0 missing
WSR3nominal67 unique values
0 missing
WSR4nominal65 unique values
0 missing
WSR5nominal64 unique values
0 missing
WSR6nominal67 unique values
0 missing
WSR7nominal68 unique values
0 missing
WSR8nominal70 unique values
0 missing
WSR9nominal71 unique values
0 missing
WSR10nominal77 unique values
0 missing
WSR11nominal78 unique values
0 missing
WSR12nominal78 unique values
0 missing
WSR13nominal79 unique values
0 missing
WSR14nominal78 unique values
0 missing
WSR15nominal79 unique values
0 missing
WSR16nominal73 unique values
0 missing
WSR17nominal74 unique values
0 missing
WSR18nominal71 unique values
0 missing
WSR19nominal66 unique values
0 missing
WSR20nominal69 unique values
0 missing
WSR21nominal70 unique values
0 missing
WSR22nominal69 unique values
0 missing
WSR23nominal66 unique values
0 missing
WSR_PKnominal75 unique values
0 missing
WSR_AVnominal56 unique values
0 missing
T0nominal283 unique values
0 missing
T1nominal285 unique values
0 missing
T2nominal288 unique values
0 missing
T3nominal284 unique values
0 missing
T4nominal284 unique values
0 missing
T5nominal293 unique values
0 missing
T6nominal296 unique values
0 missing
T7nominal312 unique values
0 missing
T8nominal314 unique values
0 missing
T9nominal315 unique values
0 missing
T10nominal328 unique values
0 missing
T11nominal331 unique values
0 missing
T12nominal335 unique values
0 missing
T13nominal336 unique values
0 missing
T14nominal336 unique values
0 missing
T15nominal340 unique values
0 missing
T16nominal338 unique values
0 missing
T17nominal330 unique values
0 missing
T18nominal322 unique values
0 missing
T19nominal307 unique values
0 missing
T20nominal303 unique values
0 missing
T21nominal295 unique values
0 missing
T22nominal288 unique values
0 missing
T23nominal285 unique values
0 missing
T_PKnominal331 unique values
0 missing
T_AVnominal297 unique values
0 missing
T85nominal252 unique values
0 missing
RH85nominal101 unique values
0 missing
U85nominal1290 unique values
0 missing
V85nominal1463 unique values
0 missing
HT85nominal369 unique values
0 missing
T70nominal246 unique values
0 missing
RH70nominal101 unique values
0 missing
U70nominal1538 unique values
0 missing
V70nominal1430 unique values
0 missing
HT70nominal442 unique values
0 missing
T50nominal187 unique values
0 missing
RH50nominal101 unique values
0 missing
U50nominal1688 unique values
0 missing
V50nominal1511 unique values
0 missing
HT50nominal86 unique values
0 missing
KInominal1049 unique values
0 missing
TTnominal658 unique values
0 missing
SLPnominal72 unique values
0 missing
SLP_nominal57 unique values
0 missing
Precpnominal175 unique values
0 missing

19 properties

2536
Number of instances (rows) of the dataset.
73
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
1
Number of numeric attributes.
72
Number of nominal attributes.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.95
Average class difference between consecutive instances.
0
Percentage of missing values.
0.03
Number of attributes divided by the number of instances.
1.37
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
98.63
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.

13 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task