Run
486250

Run 486250

Task 1748 (Learning Curve) tic-tac-toe Uploaded 02-12-2015 by Joaquin Vanschoren
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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)_C0.3
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
0.9116 ± 0.0326
Per class
F measure
0.8529 ± 0.0451
Per class
Kappa
0.6732 ± 0.1017
KB relative information score
621.7299 ± 7.6646
Mean absolute error
0.1558 ± 0.0314
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.8.0_45, x86_64, Mac OS X, 10.11.1]
Precision
0.8525 ± 0.0464
Per class
Predictive accuracy
0.8539 ± 0.0442
Prior entropy
0.9312
Recall
0.8539 ± 0.0442
Per class
Relative absolute error
0.3439 ± 0.0695
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3265 ± 0.0424
Root relative squared error
0.686 ± 0.09
SciMark benchmark
1256.238
UserCPU time millis
5.646
UserCPU time millis testing
1.333
UserCPU time millis training
4.313