Run
486355

Run 486355

Task 10060 (Learning Curve) JapaneseVowels 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
0.9487 ± 0.0281
Per class
F measure
0.9743 ± 0.0076
Per class
Kappa
0.905 ± 0.0285
KB relative information score
8759.5016 ± 32.7236
Mean absolute error
0.0278 ± 0.0069
Mean prior absolute error
0.2716 ± 0.0003
Number of instances
9961
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9742 ± 0.0077
Per class
Predictive accuracy
0.9744 ± 0.0076
Prior entropy
0.6393
Recall
0.9744 ± 0.0076
Per class
Relative absolute error
0.1024 ± 0.0254
Root mean prior squared error
0.3685 ± 0.0005
Root mean squared error
0.1556 ± 0.024
Root relative squared error
0.4222 ± 0.0652
SciMark benchmark
810.5634
UserCPU time millis
350
UserCPU time millis testing
10
UserCPU time millis training
340