Run
336323

Run 336323

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 26-03-2015 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
0.4532
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4528
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0937
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-8.0699
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5455
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
88
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.453
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4545
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.4545
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0915
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7385
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4775
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1318.6467
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)