Run
2082016

Run 2082016

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

weka.RandomizableFilteredClassifier_AdaBoostM1_RandomForest(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots4
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomForest(12)_depth10
weka.AdaBoostM1_RandomForest(6)_P100
weka.AdaBoostM1_RandomForest(6)_S1
weka.AdaBoostM1_RandomForest(6)_I1
weka.AdaBoostM1_RandomForest(6)_Wweka.classifiers.trees.RandomForest
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomForest(1)_S1
weka.RandomizableFilteredClassifier_AdaBoostM1_RandomForest(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_RandomForest(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
0.9485
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5624
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
306.3452
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0257
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
0.5447
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5932
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5932
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6488
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7728
Cross-validation details (10-fold Crossvalidation)