Run
592735

Run 592735

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 15-06-2016 by Jan van Rijn
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Flow

weka.LibSVM(7)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(7)_S0
weka.LibSVM(7)_K2
weka.LibSVM(7)_D3
weka.LibSVM(7)_G0.0
weka.LibSVM(7)_R0.0
weka.LibSVM(7)_C1.0
weka.LibSVM(7)_N0.5
weka.LibSVM(7)_P0.1
weka.LibSVM(7)_M40.0
weka.LibSVM(7)_E0.001
weka.LibSVM(7)_model/local/rijnjnvan/weka-3-7-13/D:\Weka-3-7
weka.LibSVM(7)_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
0.499
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.79
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0035
Cross-validation details (10-fold Crossvalidation)
KB relative information score
145.6403
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.734
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8551
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8551
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5886
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.087
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1384.7946
UserCPU time millis
230
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
120
Cross-validation details (10-fold Crossvalidation)