Run
6025

Run 6025

Task 1740 (Learning Curve) soybean 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
0.9946 ± 0.0026
Per class
F measure
0.932 ± 0.0303
Per class
Kappa
0.9263 ± 0.0315
KB relative information score
0.9394 ± 0.0218
Mean absolute error
0.0084 ± 0.0026
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9401 ± 0.023
Per class
Predictive accuracy
0.9327 ± 0.0288
Prior entropy
3.8358 ± 0.0227
Recall
0.9327 ± 0.0288
Per class
Relative absolute error
0.0877 ± 0.0275
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0808 ± 0.0161
Root relative squared error
0.3687 ± 0.0738
SciMark benchmark
872.5194