Run
55041

Run 55041

Task 1722 (Learning Curve) cmc Uploaded 10-11-2014 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
0.6479 ± 0.0301
Per class
Build CPU time
0.0064
Build memory
1700855557.44
F measure
0.5062 ± 0.0218
Per class
Kappa
0.2337 ± 0.0349
KB relative information score
0.236 ± 0.0256
Mean absolute error
0.3592 ± 0.01
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5056 ± 0.0229
Per class
Predictive accuracy
0.5085 ± 0.021
Prior entropy
1.539 ± 0.0029
Recall
0.5085 ± 0.021
Per class
Relative absolute error
0.8337 ± 0.0237
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4821 ± 0.0126
Root relative squared error
1.0388 ± 0.0272
SciMark benchmark
1634.4504