Run
503085

Run 503085

Task 10068 (Learning Curve) mc1 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
0.8586 ± 0.0793
Per class
F measure
0.9244 ± 0.0051
Per class
Kappa
0.0712 ± 0.014
KB relative information score
-136260.0322 ± 1038.2799
Mean absolute error
0.1292 ± 0.0094
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9917 ± 0.0013
Per class
Predictive accuracy
0.8707 ± 0.0091
Prior entropy
0.0622
Recall
0.8707 ± 0.0091
Per class
Relative absolute error
8.9945 ± 0.8259
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.3556 ± 0.0134
Root relative squared error
4.2111 ± 0.2573
SciMark benchmark
1679.2142
UserCPU time millis
100
UserCPU time millis testing
30
UserCPU time millis training
70