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win95pts_3

win95pts_3

active ARFF Publicly available Visibility: public Uploaded 26-04-2023 by Pablo Torrijos Arenas
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  • bnlearn Medicine sample Statistics win95pts
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Win95pts Bayesian Network. Sample 3. bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average Markov blanket size: 5.92 - Average degree: 2.95 - Maximum in-degree: 7

76 features

PrtPortstring2 unique values
0 missing
NetPrintstring2 unique values
0 missing
PrtDatastring2 unique values
0 missing
DS_LCLOKstring2 unique values
0 missing
PrtDriverstring2 unique values
0 missing
NtSpdstring2 unique values
0 missing
PrtFilestring2 unique values
0 missing
NnTTOKstring2 unique values
0 missing
Problem4string2 unique values
0 missing
PTROFFLINEstring2 unique values
0 missing
PrtCblstring2 unique values
0 missing
DeskPrntSpdstring2 unique values
0 missing
PrtStatOffstring2 unique values
0 missing
PrtPScriptstring2 unique values
0 missing
EPSGrphcstring2 unique values
0 missing
PrtThreadstring1 unique values
0 missing
AppOKstring2 unique values
0 missing
PrtDataOutstring2 unique values
0 missing
PrtIconstring2 unique values
0 missing
TrTypFntsstring2 unique values
0 missing
PrtStatTonerstring2 unique values
0 missing
NtGrbldstring2 unique values
0 missing
GrbldPSstring2 unique values
0 missing
DS_NTOKstring2 unique values
0 missing
PgOrnttnOKstring2 unique values
0 missing
PrtPaperstring2 unique values
0 missing
PrtSelstring2 unique values
0 missing
AvlblVrtlMmrystring2 unique values
0 missing
PrtOnstring2 unique values
0 missing
PC2PRTstring2 unique values
0 missing
GrbldOtptstring2 unique values
0 missing
LclOKstring2 unique values
0 missing
Problem6string2 unique values
0 missing
EMFOKstring2 unique values
0 missing
TstpsTxtstring2 unique values
0 missing
NnPSGrphcstring2 unique values
0 missing
Problem1string2 unique values
0 missing
DSApplctnstring2 unique values
0 missing
PrtMpTPthstring2 unique values
0 missing
Problem3string2 unique values
0 missing
CblPrtHrdwrOKstring2 unique values
0 missing
ScrnFntNtPrntrFntstring2 unique values
0 missing
GrphcsRltdDrvrSttngsstring2 unique values
0 missing
NtwrkCnfgstring2 unique values
0 missing
PrtQueuestring2 unique values
0 missing
IncmpltPSstring2 unique values
0 missing
PrtStatPaperstring2 unique values
0 missing
TTOKstring2 unique values
0 missing
PrntrAccptsTrtypstring2 unique values
0 missing
PrtTimeOutstring2 unique values
0 missing
FntInstlltnstring2 unique values
0 missing
REPEATstring2 unique values
0 missing
HrglssDrtnAftrPrntstring2 unique values
0 missing
GDIOUTstring2 unique values
0 missing
PrtMemstring2 unique values
0 missing
GDIINstring2 unique values
0 missing
LclGrbldstring2 unique values
0 missing
PrntngArOKstring2 unique values
0 missing
AppDatastring2 unique values
0 missing
PrtPathstring2 unique values
0 missing
PSERRMEMstring2 unique values
0 missing
Problem5string2 unique values
0 missing
TnrSpplystring2 unique values
0 missing
AppDtGnTmstring2 unique values
0 missing
PrtStatMemstring2 unique values
0 missing
DataFilestring2 unique values
0 missing
DskLocalstring2 unique values
0 missing
FllCrrptdBffrstring2 unique values
0 missing
PrtSpoolstring2 unique values
0 missing
PrntPrcssTmstring2 unique values
0 missing
Problem2string2 unique values
0 missing
DrvSetstring2 unique values
0 missing
DrvOKstring2 unique values
0 missing
NetOKstring2 unique values
0 missing
CmpltPgPrntdstring2 unique values
0 missing
PSGRAPHICstring2 unique values
0 missing

19 properties

5000
Number of instances (rows) of the dataset.
76
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.
0
Number of numeric attributes.
0
Number of nominal attributes.
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.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
0
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.

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