Run
2041933

Run 2041933

Task 145682 (Supervised Classification) spectrometer Uploaded 15-04-2017 by Stilyan Tonchev
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Flow

weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk(1 )Weka implementation of FilteredClassifier
weka.IBk(11)_K10
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk(1)_Fweka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_IBk(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_FilteredClassifier_Bagging_IBk(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_FilteredClassifier_Bagging_IBk(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_Bagging_IBk(1)_Fweka.filters.unsupervised.attribute.Remove -R 1
weka.FilteredClassifier_Bagging_IBk(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_IBk(6)_P100
weka.Bagging_IBk(6)_S1
weka.Bagging_IBk(6)_num-slots1
weka.Bagging_IBk(6)_I10
weka.Bagging_IBk(6)_Wweka.classifiers.lazy.IBk

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
0.8761
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3615
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3624
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.7419
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0306
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
0.3479
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3992
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.3992
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7727
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1255
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8928
Cross-validation details (10-fold Crossvalidation)