Run
2081245

Run 2081245

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Ji Hun Yang
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Flow

weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_Randomiz ableFilteredClassifier_RandomTree(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.001
weka.RandomTree(14)_S1
weka.RandomizableFilteredClassifier_RandomTree(1)_S1
weka.RandomizableFilteredClassifier_RandomTree(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_S1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_Wweka.classifiers.meta.RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_S1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomizableFilteredClassifier_RandomTree(1)_Wweka.classifiers.meta.RandomizableFilteredClassifier

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
0.6744
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3798
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3453
Cross-validation details (10-fold Crossvalidation)
KB relative information score
174.4837
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0259
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
0.3879
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.3785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6532
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1609
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1444
Cross-validation details (10-fold Crossvalidation)