Run
2083122

Run 2083122

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Eva Locusteanu
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Flow

weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_Mul tilayerPerceptron(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomizableFilteredClassifier_MultilayerPerceptron(1)_W
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_S1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 50 -R 42 -D Sparse1
weka.RandomizableFilteredClassifier_Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_Wweka.classifiers.meta.Vote
weka.Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_RAVG
weka.Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_S1
weka.Vote_RandomizableFilteredClassifier_MultilayerPerceptron(1)_Bweka.classifiers.meta.RandomizableFilteredClassifier -S 1 -F "weka.filters.unsupervised.attribute.RandomProjection -N 50 -R 42 -D Sparse1" -W weka.classifiers.trees.RandomForest -- -P 100 -I 500 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1

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
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6392
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6511
Cross-validation details (10-fold Crossvalidation)
KB relative information score
344.6108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.021
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
0.636
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6704
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.6704
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5299
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6966
Cross-validation details (10-fold Crossvalidation)