Run
503078

Run 503078

Task 10057 (Learning Curve) kdd_ipums_la_97-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
0.9725 ± 0.005
Per class
F measure
0.9252 ± 0.0096
Per class
Kappa
0.8408 ± 0.0205
KB relative information score
5862.1394 ± 15.0546
Mean absolute error
0.0744 ± 0.0095
Mean prior absolute error
0.466 ± 0.0002
Number of instances
7019
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9273 ± 0.0094
Per class
Predictive accuracy
0.9246 ± 0.0097
Prior entropy
0.9504
Recall
0.9246 ± 0.0097
Per class
Relative absolute error
0.1597 ± 0.0204
Root mean prior squared error
0.4827 ± 0.0002
Root mean squared error
0.2643 ± 0.0164
Root relative squared error
0.5475 ± 0.0342
SciMark benchmark
1676.5109
UserCPU time millis
100
UserCPU time millis testing
40
UserCPU time millis training
60