Run
503092

Run 503092

Task 10083 (Learning Curve) pc4 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
0.8165 ± 0.0503
Per class
F measure
0.7808 ± 0.023
Per class
Kappa
0.2865 ± 0.0527
KB relative information score
-854.1092 ± 27.9043
Mean absolute error
0.2605 ± 0.0305
Mean prior absolute error
0.2148 ± 0.0021
Number of instances
1458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8735 ± 0.019
Per class
Predictive accuracy
0.7387 ± 0.0294
Prior entropy
0.5368
Recall
0.7387 ± 0.0294
Per class
Relative absolute error
1.2128 ± 0.1405
Root mean prior squared error
0.3274 ± 0.0032
Root mean squared error
0.5003 ± 0.0303
Root relative squared error
1.5282 ± 0.092
SciMark benchmark
1679.2142
UserCPU time millis
10
UserCPU time millis training
10