Run
53304

Run 53304

Task 1728 (Learning Curve) credit-approval Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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
0.865 ± 0.0501
Per class
Build CPU time
0.0019
Build memory
1813006638.8
F measure
0.8537 ± 0.0457
Per class
Kappa
0.7039 ± 0.0937
KB relative information score
0.6141 ± 0.071
Mean absolute error
0.2032 ± 0.0325
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8538 ± 0.0467
Per class
Predictive accuracy
0.8536 ± 0.0455
Prior entropy
0.9912 ± 0.0022
Recall
0.8536 ± 0.0455
Per class
Relative absolute error
0.4113 ± 0.0661
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3474 ± 0.0526
Root relative squared error
0.6991 ± 0.1064
SciMark benchmark
1597.1006