DEVELOPMENT... OpenML
Run
188667

Run 188667

Task 3860 (Supervised Classification) balance-scale Uploaded 25-02-2015 by Felicia West
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Flow

weka.LibSVM(2)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(2)_S0
weka.LibSVM(2)_K2
weka.LibSVM(2)_D3
weka.LibSVM(2)_G0.0
weka.LibSVM(2)_R0.0
weka.LibSVM(2)_C1.0
weka.LibSVM(2)_N0.5
weka.LibSVM(2)_P0.1
weka.LibSVM(2)_M40.0
weka.LibSVM(2)_E0.001
weka.LibSVM(2)_model/Users/joa/Downloads/weka-3-7-12
weka.LibSVM(2)_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.

22 Evaluation measures

Area under ROC curve
0.9638
Per class
F measure
0.9648
Per class
Kappa
0.9291
KB relative information score
580.5921
Mean absolute error
0.0352
Mean prior absolute error
0.4969
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9649
Per class
Predictive accuracy
0.9648
Prior entropy
0.9956
Recall
0.9648
Per class
Relative absolute error
0.0708
Root mean prior squared error
0.4985
Root mean squared error
0.1876
Root relative squared error
0.3764
SciMark benchmark
918.6491
UserCPU time millis
60
UserCPU time millis testing
30
UserCPU time millis training
30