Run
503058

Run 503058

Task 1730 (Learning Curve) credit-g 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
0.7746 ± 0.0364
Per class
F measure
0.7345 ± 0.0309
Per class
Kappa
0.3557 ± 0.0734
KB relative information score
236.2737 ± 5.2085
Mean absolute error
0.3116 ± 0.0168
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7313 ± 0.0308
Per class
Predictive accuracy
0.741 ± 0.0318
Prior entropy
0.8818
Recall
0.741 ± 0.0318
Per class
Relative absolute error
0.7416 ± 0.0401
Root mean prior squared error
0.4583
Root mean squared error
0.4216 ± 0.0209
Root relative squared error
0.9201 ± 0.0456
SciMark benchmark
1676.5109
UserCPU time millis
10
UserCPU time millis training
10