Run
967

Run 967

Task 69 (Learning Curve) lymph 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
0.9173 ± 0.0653
Per class
F measure
0.8509 ± 0.0939
Per class
Kappa
0.7196 ± 0.1742
KB relative information score
0.707 ± 0.124
Mean absolute error
0.0924 ± 0.0354
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8525 ± 0.0878
Per class
Predictive accuracy
0.8514 ± 0.093
Prior entropy
1.2302 ± 0.1357
Recall
0.8514 ± 0.093
Per class
Relative absolute error
0.345 ± 0.1311
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.2455 ± 0.0758
Root relative squared error
0.6746 ± 0.2065
SciMark benchmark
880.907