Run
2083070

Run 2083070

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Claire Claassen
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Flow

weka.FilteredClassifier_FilteredClassifier_RandomizableFilteredClassifier_R andomForest(1)Weka implementation of FilteredClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomForest(12)_depth10
weka.RandomizableFilteredClassifier_RandomForest(1)_S1
weka.RandomizableFilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 15 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.FilteredClassifier_FilteredClassifier_RandomizableFilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.Remove -R 1
weka.FilteredClassifier_FilteredClassifier_RandomizableFilteredClassifier_RandomForest(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_RandomizableFilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.ClassAssigner -C first
weka.FilteredClassifier_RandomizableFilteredClassifier_RandomForest(1)_Wweka.classifiers.meta.RandomizableFilteredClassifier

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
0.9476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5917
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5953
Cross-validation details (10-fold Crossvalidation)
KB relative information score
319.9446
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0235
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
0.5852
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6177
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.6177
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1056
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7507
Cross-validation details (10-fold Crossvalidation)