Run
2083106

Run 2083106

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Claire Claassen
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_depth9
weka.RandomizableFilteredClassifier_RandomForest(1)_S1
weka.RandomizableFilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 60 -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
0.9574
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5916
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5952
Cross-validation details (10-fold Crossvalidation)
KB relative information score
329.6884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0234
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
0.5873
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
0.59
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7339
Cross-validation details (10-fold Crossvalidation)