Run
395566

Run 395566

Task 27 (Supervised Classification) colic Uploaded 10-04-2015 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
0.6756
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7153
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
149.0945
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.269
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.7271
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5771
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5187
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0746
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.838
UserCPU time millis
140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
80
Cross-validation details (10-fold Crossvalidation)