Run
54242

Run 54242

Task 1752 (Learning Curve) vehicle 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
0.8563 ± 0.0255
Per class
Build CPU time
0.0056
Build memory
1149003893.4222
F measure
0.734 ± 0.0618
Per class
Kappa
0.6483 ± 0.079
KB relative information score
0.678 ± 0.062
Mean absolute error
0.1402 ± 0.0259
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7334 ± 0.0627
Per class
Predictive accuracy
0.7364 ± 0.0592
Prior entropy
1.9991 ± 0.0005
Recall
0.7364 ± 0.0592
Per class
Relative absolute error
0.374 ± 0.0691
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3329 ± 0.034
Root relative squared error
0.7689 ± 0.0787
SciMark benchmark
1615.5755