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ozone_level

ozone_level

active ARFF Publicly available Visibility: public Uploaded 20-08-2014 by unknown
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Missing default_target_attribute1User 970
Seems to be a classification problem1User 5824


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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
RH85nominal101 unique values
0 missing
T11nominal331 unique values
0 missing
T85nominal252 unique values
0 missing
T_AVnominal297 unique values
0 missing
T_PKnominal331 unique values
0 missing
T23nominal285 unique values
0 missing
T22nominal288 unique values
0 missing
T21nominal295 unique values
0 missing
T20nominal303 unique values
0 missing
T19nominal307 unique values
0 missing
T18nominal322 unique values
0 missing
T17nominal330 unique values
0 missing
T16nominal338 unique values
0 missing
T15nominal340 unique values
0 missing
T14nominal336 unique values
0 missing
T13nominal336 unique values
0 missing
T12nominal335 unique values
0 missing
T10nominal328 unique values
0 missing
RH50nominal101 unique values
0 missing
Precpnominal175 unique values
0 missing
SLP_nominal57 unique values
0 missing
SLPnominal72 unique values
0 missing
TTnominal658 unique values
0 missing
KInominal1049 unique values
0 missing
HT50nominal86 unique values
0 missing
V50nominal1511 unique values
0 missing
U50nominal1688 unique values
0 missing
U85nominal1290 unique values
0 missing
T50nominal187 unique values
0 missing
HT70nominal442 unique values
0 missing
V70nominal1430 unique values
0 missing
U70nominal1538 unique values
0 missing
RH70nominal101 unique values
0 missing
T70nominal246 unique values
0 missing
HT85nominal369 unique values
0 missing
V85nominal1463 unique values
0 missing
WSR9nominal71 unique values
0 missing
WSR17nominal74 unique values
0 missing
WSR16nominal73 unique values
0 missing
WSR15nominal79 unique values
0 missing
WSR14nominal78 unique values
0 missing
WSR13nominal79 unique values
0 missing
WSR12nominal78 unique values
0 missing
WSR11nominal78 unique values
0 missing
WSR10nominal77 unique values
0 missing
WSR18nominal71 unique values
0 missing
WSR8nominal70 unique values
0 missing
WSR7nominal68 unique values
0 missing
WSR6nominal67 unique values
0 missing
WSR5nominal64 unique values
0 missing
WSR4nominal65 unique values
0 missing
WSR3nominal67 unique values
0 missing
WSR2nominal66 unique values
0 missing
WSR1nominal71 unique values
0 missing
T1nominal285 unique values
0 missing
T9nominal315 unique values
0 missing
T8nominal314 unique values
0 missing
T7nominal312 unique values
0 missing
T6nominal296 unique values
0 missing
T5nominal293 unique values
0 missing
T4nominal284 unique values
0 missing
T3nominal284 unique values
0 missing
T2nominal288 unique values
0 missing
WSR0nominal69 unique values
0 missing
T0nominal283 unique values
0 missing
WSR_AVnominal56 unique values
0 missing
WSR_PKnominal75 unique values
0 missing
WSR23nominal66 unique values
0 missing
WSR22nominal69 unique values
0 missing
WSR21nominal70 unique values
0 missing
WSR20nominal69 unique values
0 missing
WSR19nominal66 unique values
0 missing
Show all 73 features

107 properties

NumberOfInstances
2536
Number of instances (rows) of the dataset.
NumberOfFeatures
73
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
1
Number of numeric attributes.
NumberOfSymbolicFeatures
72
Number of nominal attributes.
AutoCorrelation
0.95
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
Entropy of the target attribute values.
DecisionStumpAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.03
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
29.83
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.03
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
1688
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
5.64
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.17
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
29.83
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.03
Mean of means among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
315.39
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
5.64
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.17
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
29.83
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.03
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
56
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
5.64
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.17
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NaiveBayesAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
1.37
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
98.63
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
29.83
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.03
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
5.64
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.17
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
29.83
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.03
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
5.64
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.17
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
29.83
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.03
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
5.64
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.17
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
392.24
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

13 tasks

Supervised Regression on ozone_level
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Class
Supervised Regression on ozone_level
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Class
Clustering on ozone_level
0 runs
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
Clustering on ozone_level
0 runs - estimation_procedure: 50 times Clustering
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