Run
594264

Run 594264

Task 3558 (Supervised Classification) analcatdata_japansolvent Uploaded 17-06-2016 by Martijn Post
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Flow

weka.LibSVM(8)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(8)_S0
weka.LibSVM(8)_K3
weka.LibSVM(8)_D3
weka.LibSVM(8)_G0.0
weka.LibSVM(8)_R0.0
weka.LibSVM(8)_C1.0
weka.LibSVM(8)_N0.5
weka.LibSVM(8)_P0.1
weka.LibSVM(8)_M40.0
weka.LibSVM(8)_E0.001
weka.LibSVM(8)_modelD:\Weka-3-7
weka.LibSVM(8)_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
0.6444
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6307
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2941
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15.9247
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3462
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4993
Cross-validation details (10-fold Crossvalidation)
Number of instances
52
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.6893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6538
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.999
Cross-validation details (10-fold Crossvalidation)
Recall
0.6538
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6933
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5883
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1776
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1697.6783
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)