Run
1685762

Run 1685762

Task 9904 (Supervised Classification) autoUniv-au6-750 Uploaded 22-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(1)Weka implementation of AttributeSelectedClassifier
weka.PolyKernel(9)_E1.0
weka.PolyKernel(9)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(14)_C1.0
weka.SMO_PolyKernel(14)_N0
weka.SMO_PolyKernel(14)_L0.001
weka.SMO_PolyKernel(14)_P1.0E-12
weka.SMO_PolyKernel(14)_V-1
weka.SMO_PolyKernel(14)_W1
weka.SMO_PolyKernel(14)_Kweka.classifiers.functions.supportVector.PolyKernel

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
0.5034
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1391
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0328
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.5514
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.212
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.236
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.236
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3302
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0103
Cross-validation details (10-fold Crossvalidation)