Run
316446

Run 316446

Task 1727 (Learning Curve) optdigits 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
0.9903 ± 0.0028
Per class
F measure
0.9239 ± 0.0137
Per class
Kappa
0.915 ± 0.0157
KB relative information score
0.9242 ± 0.0125
Mean absolute error
0.0159 ± 0.0025
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9251 ± 0.0123
Per class
Predictive accuracy
0.9235 ± 0.0141
Prior entropy
3.3218 ± 0.0001
Recall
0.9235 ± 0.0141
Per class
Relative absolute error
0.0885 ± 0.0142
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.116 ± 0.0096
Root relative squared error
0.3866 ± 0.032
SciMark benchmark
1337.9038
UserCPU time millis
320
UserCPU time millis testing
220
UserCPU time millis training
100