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pathfinder_4

pathfinder_4

active ARFF Publicly available Visibility: public Uploaded 26-04-2023 by Pablo Torrijos Arenas
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  • AI bnlearn Data Science Machine Learning pathfinder sample Statistics
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Pathfinder Bayesian Network. Sample 4. bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079 - Average Markov blanket size: 3.82 - Average degree: 3.58 - Maximum in-degree: 5 Authors: D. Heckerman, E. Horwitz, and B. Nathwani. Please cite: ([URL](https://pubmed.ncbi.nlm.nih.gov/1635470/)): D. Heckerman, E. Horwitz, and B. Nathwani. Towards Normative Expert Systems: Part I. The Pathfinder Project. Methods of Information in Medicine, 31:90-105, 1992.

109 features

Faultnumeric63 unique values
0 missing
F1numeric2 unique values
0 missing
F97numeric2 unique values
0 missing
F2numeric3 unique values
0 missing
F78numeric3 unique values
0 missing
F3numeric3 unique values
0 missing
F4numeric3 unique values
0 missing
F5numeric4 unique values
0 missing
F53numeric4 unique values
0 missing
F6numeric4 unique values
0 missing
F7numeric5 unique values
0 missing
F56numeric4 unique values
0 missing
F8numeric3 unique values
0 missing
F9numeric5 unique values
0 missing
F10numeric2 unique values
0 missing
F55numeric4 unique values
0 missing
F52numeric4 unique values
0 missing
F11numeric5 unique values
0 missing
F12numeric2 unique values
0 missing
F13numeric3 unique values
0 missing
F14numeric2 unique values
0 missing
F15numeric2 unique values
0 missing
F16numeric3 unique values
0 missing
F17numeric3 unique values
0 missing
F18numeric4 unique values
0 missing
F19numeric3 unique values
0 missing
F41numeric2 unique values
0 missing
F44numeric2 unique values
0 missing
F20numeric4 unique values
0 missing
F90numeric4 unique values
0 missing
F21numeric3 unique values
0 missing
F22numeric3 unique values
0 missing
F23numeric2 unique values
0 missing
F24numeric2 unique values
0 missing
F25numeric3 unique values
0 missing
F26numeric2 unique values
0 missing
F27numeric2 unique values
0 missing
F28numeric2 unique values
0 missing
F92numeric2 unique values
0 missing
F29numeric2 unique values
0 missing
F98numeric5 unique values
0 missing
F30numeric6 unique values
0 missing
F31numeric2 unique values
0 missing
F32numeric3 unique values
0 missing
F33numeric5 unique values
0 missing
F34numeric2 unique values
0 missing
F35numeric6 unique values
0 missing
F36numeric3 unique values
0 missing
F37numeric2 unique values
0 missing
F84numeric4 unique values
0 missing
F96numeric4 unique values
0 missing
F38numeric5 unique values
0 missing
F39numeric4 unique values
0 missing
F40numeric8 unique values
0 missing
F42numeric9 unique values
0 missing
F43numeric3 unique values
0 missing
F45numeric2 unique values
0 missing
F46numeric4 unique values
0 missing
F47numeric5 unique values
0 missing
F85numeric4 unique values
0 missing
F48numeric4 unique values
0 missing
F49numeric7 unique values
0 missing
F50numeric6 unique values
0 missing
F51numeric3 unique values
0 missing
F83numeric5 unique values
0 missing
F54numeric4 unique values
0 missing
F57numeric2 unique values
0 missing
F58numeric3 unique values
0 missing
F59numeric2 unique values
0 missing
F60numeric3 unique values
0 missing
F61numeric6 unique values
0 missing
F62numeric6 unique values
0 missing
F63numeric5 unique values
0 missing
F64numeric2 unique values
0 missing
F65numeric2 unique values
0 missing
F66numeric2 unique values
0 missing
F67numeric2 unique values
0 missing
F68numeric2 unique values
0 missing
F69numeric2 unique values
0 missing
F72numeric1 unique values
0 missing
F86numeric4 unique values
0 missing
F70numeric3 unique values
0 missing
F71numeric6 unique values
0 missing
F73numeric5 unique values
0 missing
F74numeric4 unique values
0 missing
F75numeric2 unique values
0 missing
F76numeric5 unique values
0 missing
F77numeric2 unique values
0 missing
F79numeric3 unique values
0 missing
F80numeric2 unique values
0 missing
F81numeric4 unique values
0 missing
F82numeric5 unique values
0 missing
F87numeric2 unique values
0 missing
F88numeric2 unique values
0 missing
F89numeric2 unique values
0 missing
F91numeric2 unique values
0 missing
F93numeric2 unique values
0 missing
F94numeric6 unique values
0 missing
F95numeric3 unique values
0 missing
F99numeric5 unique values
0 missing
F100numeric5 unique values
0 missing
F105numeric3 unique values
0 missing
F101numeric8 unique values
0 missing
F102numeric3 unique values
0 missing
F103numeric4 unique values
0 missing
F104numeric4 unique values
0 missing
F106numeric4 unique values
0 missing
F107numeric3 unique values
0 missing
F108numeric2 unique values
0 missing

19 properties

5000
Number of instances (rows) of the dataset.
109
Number of attributes (columns) of the dataset.
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.
109
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0.02
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.
0
Number of binary attributes.

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