Data
child_0

child_0

active ARFF Publicly available Visibility: public Uploaded 26-04-2023 by Pablo Torrijos Arenas
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • bnlearn child Data Science Education Machine Learning sample
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Child Bayesian Network. Sample 0. bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average Markov blanket size: 3 - Average degree: 2.5 - Maximum in-degree: 2 Authors: David J. Spiegelhalter, A. Philip Dawid, Steffen L. Lauritzen and Robert G. Cowell Please cite: ([URL](https://cse.sc.edu/~mgv/csce582sp21/links/SDLC_CHILD_1993.pdf)): D. J. Spiegelhalter, R. G. Cowell (1992). Learning in probabilistic expert systems. In Bayesian Statistics 4 (J. M. Bernardo, J. 0. Berger, A. P. Dawid and A. F. M. Smith, eds.), 447-466. Clarendon Press, Oxford.

20 features

HypDistribstring2 unique values
0 missing
DuctFlowstring3 unique values
0 missing
CardiacMixingstring4 unique values
0 missing
Diseasestring6 unique values
0 missing
LungFlowstring3 unique values
0 missing
CO2Reportstring2 unique values
0 missing
HypoxiaInO2string3 unique values
0 missing
XrayReportstring5 unique values
0 missing
Agestring3 unique values
0 missing
LVHstring2 unique values
0 missing
LowerBodyO2string3 unique values
0 missing
CO2string3 unique values
0 missing
ChestXraystring5 unique values
0 missing
LVHreportstring2 unique values
0 missing
BirthAsphyxiastring2 unique values
0 missing
GruntingReportstring2 unique values
0 missing
Gruntingstring2 unique values
0 missing
Sickstring2 unique values
0 missing
LungParenchstring3 unique values
0 missing
RUQO2string3 unique values
0 missing
Show all 20 features

19 properties

NumberOfInstances
5000
Number of instances (rows) of the dataset.
NumberOfFeatures
20
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
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

0 tasks

Define a new task