DEVELOPMENT... OpenML
Run
25110

Run 25110

Task 83 (Learning Curve) mushroom Uploaded 16-08-2014 by Jason
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_SBAYES

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9984 ± 0.0006
Per class
Build CPU time
0.0032
Build memory
1448256978.864
F measure
0.9621 ± 0.0069
Per class
Kappa
0.924 ± 0.0139
KB relative information score
0.9244 ± 0.012
Mean absolute error
0.0378 ± 0.0059
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9638 ± 0.0062
Per class
Predictive accuracy
0.9621 ± 0.0069
Prior entropy
0.9991 ± 0
Recall
0.9621 ± 0.0069
Per class
Relative absolute error
0.0758 ± 0.0118
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1643 ± 0.015
Root relative squared error
0.3288 ± 0.0301
SciMark benchmark
1127.8555[685.3598236203184965.1665380780001538.3513672215038957.77859370146372492.621347041404]