Run
2072660

Run 2072660

Task 145682 (Supervised Classification) spectrometer Uploaded 19-04-2017 by Wessel van Wesel
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Flow

weka.Bagging_FilteredClassifier_LMT(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.FilteredClassifier_LMT(1)_Fweka.filters.unsupervised.attribute.RandomProjection -N 40 -R 42 -D Sparse1
weka.FilteredClassifier_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(6)_I-1
weka.LMT(6)_M5
weka.LMT(6)_W0.0
weka.Bagging_FilteredClassifier_LMT(1)_P100
weka.Bagging_FilteredClassifier_LMT(1)_S1
weka.Bagging_FilteredClassifier_LMT(1)_num-slots1
weka.Bagging_FilteredClassifier_LMT(1)_I10
weka.Bagging_FilteredClassifier_LMT(1)_Wweka.classifiers.meta.FilteredClassifier

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
0.944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5823
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5685
Cross-validation details (10-fold Crossvalidation)
KB relative information score
323.6512
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0206
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
0.5856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5913
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5913
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5203
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7704
Cross-validation details (10-fold Crossvalidation)