Data
water_5

water_5

active ARFF Publicly available Visibility: public Uploaded 26-04-2023 by Pablo Torrijos Arenas
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  • bnlearn Machine Learning sample water
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Water Bayesian Network. Sample 5. bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average Markov blanket size: 7.69 - Average degree: 4.12 - Maximum in-degree: 5 Authors: F. V. Jensen, U. Kjaerulff, K. G. Olesen and J. Pedersen. Please cite: ([URL](https://www.semanticscholar.org/paper/MIDAS%3A-An-Influence-Diagram-for-Management-of-in-Jensen-Jensen/a08ce2d88c66bb5bf7968bdadee87c2f91caeb2c)): F. V. Jensen, U. Kjaerulff, K. G. Olesen and J. Pedersen. Et Forprojekt Til et Ekspertsystem for Drift af Spildevandsrensning (An Expert System for Control of Waste Water Treatment - A Pilot Project). Technical Report, Judex Datasystemer A/S, Aalborg, 1989. In Danish.

32 features

CKNN_12_30string2 unique values
0 missing
CKNN_12_00string2 unique values
0 missing
CKND_12_30string3 unique values
0 missing
CBODD_12_15string3 unique values
0 missing
C_NI_12_00numeric4 unique values
0 missing
CKNI_12_00string3 unique values
0 missing
CKND_12_15string3 unique values
0 missing
CKND_12_00string2 unique values
0 missing
CNON_12_45string3 unique values
0 missing
CKNI_12_15string3 unique values
0 missing
CNOD_12_15string2 unique values
0 missing
CNOD_12_00string2 unique values
0 missing
CBODD_12_30string4 unique values
0 missing
CBODD_12_00string2 unique values
0 missing
CNON_12_15string3 unique values
0 missing
CBODD_12_45string4 unique values
0 missing
CNON_12_00string2 unique values
0 missing
CNOD_12_45string2 unique values
0 missing
CKNN_12_45string2 unique values
0 missing
C_NI_12_15numeric4 unique values
0 missing
CKNN_12_15string2 unique values
0 missing
CKND_12_45string3 unique values
0 missing
CBODN_12_30string3 unique values
0 missing
CNON_12_30string3 unique values
0 missing
C_NI_12_30numeric4 unique values
0 missing
CBODN_12_45string3 unique values
0 missing
CNOD_12_30string2 unique values
0 missing
C_NI_12_45numeric4 unique values
0 missing
CBODN_12_00string2 unique values
0 missing
CKNI_12_30string3 unique values
0 missing
CKNI_12_45string3 unique values
0 missing
CBODN_12_15string3 unique values
0 missing
Show all 32 features

19 properties

NumberOfInstances
5000
Number of instances (rows) of the dataset.
NumberOfFeatures
32
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
4
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
12.5
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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