Run
6006

Run 6006

Task 71 (Learning Curve) mfeat-factors Uploaded 09-05-2014 by Jan van Rijn
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.9737 ± 0.0063
Per class
F measure
0.9331 ± 0.015
Per class
Kappa
0.9256 ± 0.0165
KB relative information score
0.9311 ± 0.0151
Mean absolute error
0.0134 ± 0.0029
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9341 ± 0.0142
Per class
Predictive accuracy
0.933 ± 0.0148
Prior entropy
3.3219
Recall
0.933 ± 0.0148
Per class
Relative absolute error
0.0743 ± 0.0161
Root mean prior squared error
0.3
Root mean squared error
0.114 ± 0.0128
Root relative squared error
0.3801 ± 0.0428
SciMark benchmark
877.7912