Run
149229

Run 149229

Task 3019 (Supervised Classification) Australian Uploaded 08-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.END_ND_J48(2)Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.END_ND_J48(2)_S1
weka.END_ND_J48(2)_I10
weka.END_ND_J48(2)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(2)_S1
weka.ND_J48(2)_Wweka.classifiers.trees.J48

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
0.8571
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8476
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
441.5676
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1858
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8476
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8478
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3762
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.362
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7284
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.9494
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)