Run
875

Run 875

Task 77 (Learning Curve) mfeat-morphological 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
0.9516 ± 0.0059
Per class
F measure
0.6726 ± 0.0226
Per class
Kappa
0.6503 ± 0.0252
KB relative information score
0.7283 ± 0.0188
Mean absolute error
0.0657 ± 0.0032
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
0.6792 ± 0.0269
Per class
Predictive accuracy
0.6853 ± 0.0226
Prior entropy
3.3219
Recall
0.6853 ± 0.0226
Per class
Relative absolute error
0.365 ± 0.0179
Root mean prior squared error
0.3
Root mean squared error
0.2084 ± 0.008
Root relative squared error
0.6948 ± 0.0267
SciMark benchmark
891.7687