Run
503060

Run 503060

Task 1714 (Learning Curve) breast-w Uploaded 22-12-2015 by Jan van Rijn
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Flow

weka.BayesNet_K2(19)Weka implementation of BayesNet
weka.BayesNet_K2(19)_Dtrue
weka.BayesNet_K2(19)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(9)_P1
weka.K2(9)_SBAYES

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.989 ± 0.0104
Per class
F measure
0.9715 ± 0.0239
Per class
Kappa
0.9374 ± 0.0519
KB relative information score
652.5982 ± 3.9577
Mean absolute error
0.0288 ± 0.0246
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9723 ± 0.0218
Per class
Predictive accuracy
0.9714 ± 0.0243
Prior entropy
0.9297
Recall
0.9714 ± 0.0243
Per class
Relative absolute error
0.0637 ± 0.0546
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1615 ± 0.0778
Root relative squared error
0.3397 ± 0.1639
SciMark benchmark
1679.2142
UserCPU time millis
10
UserCPU time millis training
10