Run
477722

Run 477722

Task 10060 (Learning Curve) JapaneseVowels 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
0.9486 ± 0.0284
Per class
F measure
0.9742 ± 0.0077
Per class
Kappa
0.9047 ± 0.0288
KB relative information score
8741.4776 ± 33.8454
Mean absolute error
0.0284 ± 0.0073
Mean prior absolute error
0.2716 ± 0.0003
Number of instances
9961
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9741 ± 0.0078
Per class
Predictive accuracy
0.9743 ± 0.0076
Prior entropy
0.6393
Recall
0.9743 ± 0.0076
Per class
Relative absolute error
0.1047 ± 0.0269
Root mean prior squared error
0.3685 ± 0.0005
Root mean squared error
0.1561 ± 0.0242
Root relative squared error
0.4236 ± 0.0657
SciMark benchmark
1767.5245
UserCPU time millis
170
UserCPU time millis training
170