DEVELOPMENT... OpenML
Run
55287

Run 55287

Task 2097 (Learning Curve) satimage Uploaded 10-11-2014 by Jason
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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
0.9392 ± 0.0076
Per class
Build CPU time
0.6697
Build memory
451163501.8857
F measure
0.898 ± 0.0126
Per class
Kappa
0.8767 ± 0.0155
KB relative information score
0.8775 ± 0.0145
Mean absolute error
0.0332 ± 0.0042
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8975 ± 0.0127
Per class
Predictive accuracy
0.9003 ± 0.0126
Prior entropy
2.4834 ± 0.0009
Recall
0.9003 ± 0.0126
Per class
Relative absolute error
0.123 ± 0.0155
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1823 ± 0.0114
Root relative squared error
0.496 ± 0.0311
SciMark benchmark
1910.4834