Run
503079

Run 503079

Task 10058 (Learning Curve) ipums_la_98-small Uploaded 22-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8095 ± 0.0261
Per class
F measure
0.7347 ± 0.0142
Per class
Kappa
0.2269 ± 0.023
KB relative information score
-9852.7622 ± 86.7598
Mean absolute error
0.3272 ± 0.0178
Mean prior absolute error
0.1891 ± 0.0003
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.896 ± 0.0064
Per class
Predictive accuracy
0.6715 ± 0.0176
Prior entropy
0.4871
Recall
0.6715 ± 0.0176
Per class
Relative absolute error
1.7304 ± 0.0935
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.5612 ± 0.0166
Root relative squared error
1.8256 ± 0.0533
SciMark benchmark
1679.2142
UserCPU time millis
100
UserCPU time millis testing
40
UserCPU time millis training
60