Run
503089

Run 503089

Task 10080 (Learning Curve) pc1 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
0.7006 ± 0.1041
Per class
F measure
0.7949 ± 0.0322
Per class
Kappa
0.1051 ± 0.0989
KB relative information score
-2209.3333 ± 70.9881
Mean absolute error
0.2651 ± 0.0544
Mean prior absolute error
0.1299 ± 0.0037
Number of instances
1109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8948 ± 0.0252
Per class
Predictive accuracy
0.7322 ± 0.0567
Prior entropy
0.3667
Recall
0.7322 ± 0.0567
Per class
Relative absolute error
2.0413 ± 0.4407
Root mean prior squared error
0.2542 ± 0.0073
Root mean squared error
0.4974 ± 0.0551
Root relative squared error
1.9566 ± 0.2414
SciMark benchmark
1679.2142
UserCPU time millis
10
UserCPU time millis testing
10