Run
158916

Run 158916

Task 1748 (Learning Curve) tic-tac-toe Uploaded 12-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.ADTree(3)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(3)_B10
weka.ADTree(3)_E-3
weka.ADTree(3)_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.

22 Evaluation measures

Area under ROC curve
0.8605 ± 0.0298
Per class
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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-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
646.4525
UserCPU time millis
20
UserCPU time millis training
20