Run
477663

Run 477663

Task 1748 (Learning Curve) tic-tac-toe Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M2

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
0.9133 ± 0.0352
Per class
F measure
0.8548 ± 0.0423
Per class
Kappa
0.6774 ± 0.0957
KB relative information score
622.7829 ± 7.5613
Mean absolute error
0.1558 ± 0.0314
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8546 ± 0.0432
Per class
Predictive accuracy
0.8559 ± 0.0413
Prior entropy
0.9312
Recall
0.8559 ± 0.0413
Per class
Relative absolute error
0.3438 ± 0.0695
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3244 ± 0.0405
Root relative squared error
0.6817 ± 0.086
SciMark benchmark
1801.8585