Run
50562

Run 50562

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.ADTree(2)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1

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
0.8605 ± 0.0298
Per class
Build CPU time
0.002
Build memory
89851691.0222
F measure
0.752 ± 0.0466
Per class
Kappa
0.4511 ± 0.1111
KB relative information score
0.3119 ± 0.0398
Mean absolute error
0.3134 ± 0.0166
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
0.7514 ± 0.0467
Per class
Predictive accuracy
0.7526 ± 0.0381
Prior entropy
0.931 ± 0.0039
Recall
0.7526 ± 0.0381
Per class
Relative absolute error
0.6918 ± 0.0373
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3792 ± 0.0133
Root relative squared error
0.797 ± 0.0285
SciMark benchmark
1648.2431