Run
1931762

Run 1931762

Task 145682 (Supervised Classification) spectrometer Uploaded 02-04-2017 by Yuri Maas
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C1.27513547189
weka.SMO_PolyKernel(15)_N2
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_Mtrue
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E0.7760883769
weka.PolyKernel(11)_Ltrue
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Sweka.attributeSelection.GreedyStepwise -T -1.7976931348623157E308 -N -1 -num-slots 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO

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
0.9503
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5705
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5623
Cross-validation details (10-fold Crossvalidation)
KB relative information score
320.9265
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0213
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5663
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5857
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5857
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5381
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1093
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7775
Cross-validation details (10-fold Crossvalidation)