Run
47120

Run 47120

Task 1748 (Learning Curve) tic-tac-toe Uploaded 05-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I10
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.746 ± 0.0607
Per class
Build CPU time
0.0011
Build memory
288288482.2222
F measure
0.6837 ± 0.0479
Per class
Kappa
0.2862 ± 0.1062
KB relative information score
0.1865 ± 0.0593
Mean absolute error
0.3683 ± 0.022
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.6834 ± 0.051
Per class
Predictive accuracy
0.6973 ± 0.0468
Prior entropy
0.931 ± 0.0039
Recall
0.6973 ± 0.0468
Per class
Relative absolute error
0.813 ± 0.0478
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.4311 ± 0.0234
Root relative squared error
0.906 ± 0.0487
SciMark benchmark
1737.9306