Data
hailfinder_6

hailfinder_6

active ARFF Publicly available Visibility: public Uploaded 26-04-2023 by Pablo Torrijos Arenas
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  • bnlearn Climate Data Science hailfinder sample Statistics Weather
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Hailfinder Bayesian Network. Sample 6. bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 - Average Markov blanket size: 3.54 - Average degree: 2.36 - Maximum in-degree: 4 Authors: B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler. Please cite: ([URL](https://www.sciencedirect.com/science/article/pii/0169207095006648)): B. Abramson, J. Brown, W. Edwards, A. Murphy, and R. L. Winkler. Hailfinder: A Bayesian system for forecasting severe weather. International Journal of Forecasting, 12(1):57-71, 1996.

56 features

CapInScenstring3 unique values
0 missing
MidLLapsestring3 unique values
0 missing
WindAloftstring4 unique values
0 missing
LowLLapsestring4 unique values
0 missing
ScenRelAMCINstring2 unique values
0 missing
CombMoisturestring4 unique values
0 missing
MeanRHstring3 unique values
0 missing
SynForcngstring5 unique values
0 missing
AMInstabMtstring3 unique values
0 missing
ScenRelAMInsstring6 unique values
0 missing
MorningCINstring4 unique values
0 missing
SubjVertMostring4 unique values
0 missing
QGVertMotionstring4 unique values
0 missing
OutflowFrMtstring3 unique values
0 missing
CombCloudsstring3 unique values
0 missing
SatContMoiststring4 unique values
0 missing
AreaMoDryAirstring4 unique values
0 missing
AMInsWliScenstring3 unique values
0 missing
IRCloudCoverstring3 unique values
0 missing
CldShadeConvstring3 unique values
0 missing
LIfr12ZDENSdstring4 unique values
0 missing
ScnRelPlFcststring11 unique values
0 missing
CurPropConvstring4 unique values
0 missing
N0_7muVerMostring4 unique values
0 missing
TempDisstring4 unique values
0 missing
Scenariostring11 unique values
0 missing
MvmtFeaturesstring4 unique values
0 missing
InsChangestring3 unique values
0 missing
LLIWstring4 unique values
0 missing
Boundariesstring3 unique values
0 missing
LoLevMoistAdstring4 unique values
0 missing
AreaMeso_ALSstring4 unique values
0 missing
WndHodographstring4 unique values
0 missing
LatestCINstring4 unique values
0 missing
MountainFcststring3 unique values
0 missing
Datestring6 unique values
0 missing
RHRatiostring3 unique values
0 missing
VISCloudCovstring3 unique values
0 missing
ScenRel3_4string5 unique values
0 missing
N34StarFcststring3 unique values
0 missing
CapChangestring3 unique values
0 missing
WindFieldMtstring2 unique values
0 missing
InsInMtstring3 unique values
0 missing
InsSclInScenstring3 unique values
0 missing
CompPlFcststring3 unique values
0 missing
CldShadeOthstring3 unique values
0 missing
RaoContMoiststring4 unique values
0 missing
MorningBoundstring3 unique values
0 missing
R5Fcststring3 unique values
0 missing
Dewpointsstring7 unique values
0 missing
CombVerMostring4 unique values
0 missing
AMDewptCalPlstring3 unique values
0 missing
SfcWndShfDisstring7 unique values
0 missing
AMCINInScenstring3 unique values
0 missing
WindFieldPlnstring6 unique values
0 missing
PlainsFcststring3 unique values
0 missing
Show all 56 features

19 properties

NumberOfInstances
5000
Number of instances (rows) of the dataset.
NumberOfFeatures
56
Number of attributes (columns) of the dataset.
NumberOfClasses
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
0
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
Dimensionality
0.01
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

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