Run
3798770

Run 3798770

Task 2079 (Supervised Classification) eucalyptus Uploaded 03-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_LogitBoost_DecisionStump(1)Weka implementation of FilteredClassifier
weka.LogitBoost_DecisionStump(11)_P100
weka.LogitBoost_DecisionStump(11)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(11)_H1.0
weka.LogitBoost_DecisionStump(11)_Z3.0
weka.LogitBoost_DecisionStump(11)_O1
weka.LogitBoost_DecisionStump(11)_E1
weka.LogitBoost_DecisionStump(11)_S1
weka.LogitBoost_DecisionStump(11)_I10
weka.LogitBoost_DecisionStump(11)_Wweka.classifiers.trees.DecisionStump
weka.FilteredClassifier_LogitBoost_DecisionStump(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost

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.

22 Evaluation measures

Area under ROC curve
0.897
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6315
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.529
Cross-validation details (10-fold Crossvalidation)
KB relative information score
392.6276
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1789
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6345
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6345
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5712
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3033
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7666
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1567.0282
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)