Run
54224

Run 54224

Task 1715 (Learning Curve) mfeat-karhunen 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
0.9093 ± 0.02
Per class
Build CPU time
0.0548
Build memory
1673192125.4546
F measure
0.8152 ± 0.0365
Per class
Kappa
0.795 ± 0.0393
KB relative information score
0.81 ± 0.0364
Mean absolute error
0.0385 ± 0.0068
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8159 ± 0.0372
Per class
Predictive accuracy
0.8155 ± 0.0354
Prior entropy
3.3219
Recall
0.8155 ± 0.0354
Per class
Relative absolute error
0.2141 ± 0.038
Root mean prior squared error
0.3
Root mean squared error
0.1826 ± 0.0187
Root relative squared error
0.6087 ± 0.0624
SciMark benchmark
1615.5755