Run
25587

Run 25587

Task 79 (Learning Curve) mfeat-pixel Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.J48(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_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.

21 Evaluation measures

Area under ROC curve
0.9141 ± 0.013
Per class
Build CPU time
0.0409
Build memory
4029911222.2909
F measure
0.7921 ± 0.0261
Per class
Kappa
0.7682 ± 0.029
KB relative information score
0.786 ± 0.0242
Mean absolute error
0.0462 ± 0.0047
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7941 ± 0.0255
Per class
Predictive accuracy
0.7914 ± 0.0261
Prior entropy
3.3219
Recall
0.7914 ± 0.0261
Per class
Relative absolute error
0.2568 ± 0.0264
Root mean prior squared error
0.3
Root mean squared error
0.1857 ± 0.0114
Root relative squared error
0.6191 ± 0.0381
SciMark benchmark
1129.4362[634.2693236363637945.0490316597923534.9984256735706971.26338765843372561.601037292304]