Run
4736185

Run 4736185

Task 30 (Supervised Classification) page-blocks Uploaded 07-07-2017 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_MultiBoostAB_REPTree(1)Weka implementation of FilteredClassifier
weka.REPTree(18)_M2
weka.REPTree(18)_V0.001
weka.REPTree(18)_N3
weka.REPTree(18)_S1
weka.REPTree(18)_L-1
weka.REPTree(18)_I0.0
weka.FilteredClassifier_MultiBoostAB_REPTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_MultiBoostAB_REPTree(1)_Wweka.classifiers.meta.MultiBoostAB
weka.MultiBoostAB_REPTree(4)_C3
weka.MultiBoostAB_REPTree(4)_P100
weka.MultiBoostAB_REPTree(4)_S1
weka.MultiBoostAB_REPTree(4)_I10
weka.MultiBoostAB_REPTree(4)_Wweka.classifiers.trees.REPTree

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
0.9698
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9701
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.842
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4375.346
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0116
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9697
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9711
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9711
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1044
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5358
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1653.8179
UserCPU time millis
400
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
390
Cross-validation details (10-fold Crossvalidation)