Run
50967

Run 50967

Task 1748 (Learning Curve) tic-tac-toe Uploaded 06-11-2014 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(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.trees.ADTree

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
0.9375 ± 0.029
Per class
Build CPU time
0.0106
Build memory
491509693.7778
F measure
0.8329 ± 0.0431
Per class
Kappa
0.6369 ± 0.0925
KB relative information score
0.3439 ± 0.0565
Mean absolute error
0.3043 ± 0.0232
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8379 ± 0.0437
Per class
Predictive accuracy
0.8309 ± 0.0437
Prior entropy
0.931 ± 0.0039
Recall
0.8309 ± 0.0437
Per class
Relative absolute error
0.6717 ± 0.0505
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3605 ± 0.0173
Root relative squared error
0.7575 ± 0.0358
SciMark benchmark
1633.1623