Run
2040720

Run 2040720

Task 145682 (Supervised Classification) spectrometer Uploaded 13-04-2017 by Derek Lagrouw
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_FilteredClassifier_SMO_PolyKernel(1)Weka implementation of FilteredClassifier
weka.SMO_PolyKernel(15)_C1.0
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
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)_E2.0
weka.PolyKernel(11)_C250007
weka.FilteredClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 33 -R 40 -D Sparse1
weka.FilteredClassifier_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.FilteredClassifier_FilteredClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0
weka.FilteredClassifier_FilteredClassifier_SMO_PolyKernel(1)_Wweka.classifiers.meta.FilteredClassifier

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
0.8203
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2621
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2325
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.0833
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
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
0.2545
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2731
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.2731
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1409
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.002
Cross-validation details (10-fold Crossvalidation)