Run
55040

Run 55040

Task 1721 (Learning Curve) mfeat-zernike 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
0.8764 ± 0.0179
Per class
Build CPU time
0.0794
Build memory
1152190033.3091
F measure
0.6975 ± 0.0298
Per class
Kappa
0.6656 ± 0.0367
KB relative information score
0.7212 ± 0.0324
Mean absolute error
0.0608 ± 0.0062
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
0.6965 ± 0.0272
Per class
Predictive accuracy
0.699 ± 0.0331
Prior entropy
3.3219
Recall
0.699 ± 0.0331
Per class
Relative absolute error
0.3376 ± 0.0343
Root mean prior squared error
0.3
Root mean squared error
0.22 ± 0.0142
Root relative squared error
0.7332 ± 0.0474
SciMark benchmark
1634.4504