Run
316444

Run 316444

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 21-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_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
0.9939 ± 0.0057
Per class
F measure
0.9218 ± 0.0232
Per class
Kappa
0.9128 ± 0.0261
KB relative information score
0.924 ± 0.0229
Mean absolute error
0.0164 ± 0.0045
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9228 ± 0.0216
Per class
Predictive accuracy
0.9215 ± 0.0235
Prior entropy
3.3219
Recall
0.9215 ± 0.0235
Per class
Relative absolute error
0.0914 ± 0.0252
Root mean prior squared error
0.3
Root mean squared error
0.1125 ± 0.0182
Root relative squared error
0.3749 ± 0.0606
SciMark benchmark
1337.9038
UserCPU time millis
140
UserCPU time millis testing
70
UserCPU time millis training
70