Run
450229

Run 450229

Task 3611 (Supervised Classification) auto_price Uploaded 19-05-2015 by Joaquin Vanschoren
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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
0.5556
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1417
Cross-validation details (10-fold Crossvalidation)
KB relative information score
47.1397
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3019
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4492
Cross-validation details (10-fold Crossvalidation)
Number of instances
159
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7928
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6981
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9264
Cross-validation details (10-fold Crossvalidation)
Recall
0.6981
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6721
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4736
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5494
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1602
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
930.404
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)