Run
2082821

Run 2082821

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


Flow

weka.FilteredClassifier_Bagging_RandomForest(3)Weka implementation of FilteredClassifier
weka.Bagging_RandomForest(12)_P100
weka.Bagging_RandomForest(12)_S1
weka.Bagging_RandomForest(12)_num-slots1
weka.Bagging_RandomForest(12)_I10
weka.Bagging_RandomForest(12)_Wweka.classifiers.trees.RandomForest
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.FilteredClassifier_Bagging_RandomForest(3)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0" -F "weka.filters.unsupervised.attribute.RemoveByName -E LRS-name" -F "weka.filters.AllFilter "
weka.FilteredClassifier_Bagging_RandomForest(3)_Wweka.classifiers.meta.Bagging

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
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5304
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5369
Cross-validation details (10-fold Crossvalidation)
KB relative information score
296.5365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0266
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
0.517
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5631
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5631
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6715
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.11
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7825
Cross-validation details (10-fold Crossvalidation)