Run
53694

Run 53694

Task 1757 (Learning Curve) waveform-5000 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.LibSVM(1)Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
weka.LibSVM(1)_S0
weka.LibSVM(1)_K2
weka.LibSVM(1)_D3
weka.LibSVM(1)_G0.0
weka.LibSVM(1)_R0.0
weka.LibSVM(1)_C1.0
weka.LibSVM(1)_N0.5
weka.LibSVM(1)_P0.1
weka.LibSVM(1)_M40.0
weka.LibSVM(1)_E0.001
weka.LibSVM(1)_model/Users/joa/Code/OpenML
weka.LibSVM(1)_seed1

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
0.8987 ± 0.0108
Per class
Build CPU time
1.0809
Build memory
1041052249.9429
F measure
0.8645 ± 0.0141
Per class
Kappa
0.7972 ± 0.0215
KB relative information score
0.8151 ± 0.0196
Mean absolute error
0.0901 ± 0.0095
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8654 ± 0.0152
Per class
Predictive accuracy
0.8648 ± 0.0143
Prior entropy
1.5849 ± 0
Recall
0.8648 ± 0.0143
Per class
Relative absolute error
0.2028 ± 0.0215
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3002 ± 0.0161
Root relative squared error
0.6369 ± 0.034
SciMark benchmark
1914.93