Run
477811

Run 477811

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)_M1

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
0.9134 ± 0.0306
Per class
F measure
0.8661 ± 0.0382
Per class
Kappa
0.702 ± 0.0874
KB relative information score
650.1611 ± 7.0473
Mean absolute error
0.1428 ± 0.0294
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
0.8661 ± 0.0378
Per class
Predictive accuracy
0.8674 ± 0.0363
Prior entropy
0.9312
Recall
0.8674 ± 0.0363
Per class
Relative absolute error
0.3152 ± 0.0651
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3193 ± 0.0419
Root relative squared error
0.6709 ± 0.0888
SciMark benchmark
1692.1465
UserCPU time millis
10
UserCPU time millis training
10