Run
1810469

Run 1810469

Task 3507 (Supervised Classification) vehicle_sensIT Uploaded 28-07-2016 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)_K1
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/vol/home/rijnjnvan/apps/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.

17 Evaluation measures

Area under ROC curve
0.8502
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8494
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7004
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69010
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1498
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
98528
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8582
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8502
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8502
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2996
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.387
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7741
Cross-validation details (10-fold Crossvalidation)