Run
749

Run 749

Task 82 (Learning Curve) cmc Uploaded 08-04-2014 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
0.6967 ± 0.0267
Per class
F measure
0.5072 ± 0.0345
Per class
Kappa
0.2482 ± 0.0508
KB relative information score
0.2396 ± 0.0246
Mean absolute error
0.3608 ± 0.0101
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.5227 ± 0.0359
Per class
Predictive accuracy
0.5019 ± 0.0342
Prior entropy
1.539 ± 0.0028
Recall
0.5019 ± 0.0342
Per class
Relative absolute error
0.8376 ± 0.0236
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4486 ± 0.0116
Root relative squared error
0.9667 ± 0.0252
SciMark benchmark
936.745