Run
2082539

Run 2082539

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Dave de Vos
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Flow

weka.FilteredClassifier_RandomForest(4)Weka implementation of FilteredClassifier
weka.RandomForest(12)_P50
weka.RandomForest(12)_I150
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.FilteredClassifier_RandomForest(4)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0" -F "weka.filters.unsupervised.attribute.NominalToBinary -R 104" -F "weka.filters.unsupervised.instance.RemoveWithValues -S 0.5 -C 104 -L first-last -V" -F "weka.filters.unsupervised.attribute.Remove -R 104,105,1" -F "weka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0" -F "weka.filters.unsupervised.attribute.Remove -V -R 1,2,10,11,12,13,14,21,22,23,24,27,28,30,31,32,33,35,48,51,56,90" -F "weka.filters.unsupervised.attribute.ClassAssigner -C first" -F "weka.filters.AllFilter "
weka.FilteredClassifier_RandomForest(4)_Wweka.classifiers.trees.RandomForest

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
0.9146
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5322
Cross-validation details (10-fold Crossvalidation)
KB relative information score
284.013
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
0.5406
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5574
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5574
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6535
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1175
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8356
Cross-validation details (10-fold Crossvalidation)