Run
2082181

Run 2082181

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Zeno van Cauter
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Flow

weka.RandomizableFilteredClassifier_AdaBoostM1_AdaBoostM1_DecisionStump(1)Weka implementation of RandomizableFilteredClassifier
weka.AdaBoostM1_DecisionStump(17)_P100
weka.AdaBoostM1_DecisionStump(17)_S1
weka.AdaBoostM1_DecisionStump(17)_I10
weka.AdaBoostM1_DecisionStump(17)_Wweka.classifiers.trees.DecisionStump
weka.RandomizableFilteredClassifier_AdaBoostM1_AdaBoostM1_DecisionStump(1)_S1
weka.RandomizableFilteredClassifier_AdaBoostM1_AdaBoostM1_DecisionStump(1)_Fweka.filters.MultiFilter -F "weka.filters.AllFilter " -F "weka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0" -F "weka.filters.unsupervised.attribute.RemoveByName -E LRS-name"
weka.RandomizableFilteredClassifier_AdaBoostM1_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_AdaBoostM1_DecisionStump(1)_I10
weka.AdaBoostM1_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1

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
0.676
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1025
Cross-validation details (10-fold Crossvalidation)
KB relative information score
90.706
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0377
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
0.0361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1864
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.1864
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9514
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1375
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9776
Cross-validation details (10-fold Crossvalidation)