Run
2082011

Run 2082011

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

weka.RandomizableFilteredClassifier_AdaBoostM1_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_AdaBoostM1_RandomTree(1)_S1
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomTree(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.RandomProjection -N 70 -R 42 -D Sparse1" -F "weka.filters.unsupervised.attribute.RemoveByName -E LRS-name"
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomTree(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_RandomTree(5)_P100
weka.AdaBoostM1_RandomTree(5)_S1
weka.AdaBoostM1_RandomTree(5)_I10
weka.AdaBoostM1_RandomTree(5)_Wweka.classifiers.trees.RandomTree

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
0.5604
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1659
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1188
Cross-validation details (10-fold Crossvalidation)
KB relative information score
69.4975
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0348
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
0.1724
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1638
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.1638
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8789
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1867
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3274
Cross-validation details (10-fold Crossvalidation)