Run
503056

Run 503056

Task 1702 (Learning Curve) kr-vs-kp 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
0.9523 ± 0.0081
Per class
F measure
0.8779 ± 0.0138
Per class
Kappa
0.7552 ± 0.0277
KB relative information score
1952.7864 ± 6.5214
Mean absolute error
0.2081 ± 0.0099
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8781 ± 0.014
Per class
Predictive accuracy
0.878 ± 0.0138
Prior entropy
0.9986
Recall
0.878 ± 0.0138
Per class
Relative absolute error
0.417 ± 0.0198
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.3022 ± 0.011
Root relative squared error
0.605 ± 0.0221
SciMark benchmark
1676.5109
UserCPU time millis
10
UserCPU time millis training
10