Run
592750

Run 592750

Task 3830 (Supervised Classification) cars 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
0.6837
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7228
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3995
Cross-validation details (10-fold Crossvalidation)
KB relative information score
175.538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2586
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4686
Cross-validation details (10-fold Crossvalidation)
Number of instances
406
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
0.7446
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7414
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9544
Cross-validation details (10-fold Crossvalidation)
Recall
0.7414
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5519
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.484
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5085
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0508
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1342.7453
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)