Run
503080

Run 503080

Task 10059 (Learning Curve) ipums_la_99-small 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
0.8552 ± 0.0193
Per class
F measure
0.8036 ± 0.0105
Per class
Kappa
0.2018 ± 0.0231
KB relative information score
-21657.6239 ± 126.4934
Mean absolute error
0.2639 ± 0.0122
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9314 ± 0.0052
Per class
Predictive accuracy
0.7374 ± 0.0144
Prior entropy
0.3444
Recall
0.7374 ± 0.0144
Per class
Relative absolute error
2.1941 ± 0.0994
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.475 ± 0.0129
Root relative squared error
1.9377 ± 0.0504
SciMark benchmark
1676.5109
UserCPU time millis
90
UserCPU time millis testing
40
UserCPU time millis training
50