Run
581300

Run 581300

Task 30 (Supervised Classification) page-blocks Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.END_ND_J48(4)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(33)_C0.25
weka.J48(33)_M2
weka.END_ND_J48(4)_S1
weka.END_ND_J48(4)_I10
weka.END_ND_J48(4)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.ND_J48(4)_S1
weka.ND_J48(4)_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
0.974
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9719
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8521
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4306.986
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0162
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_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9716
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9724
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9724
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2127
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0954
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4897
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1297.0884
UserCPU time millis
1290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
200
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1090
Cross-validation details (10-fold Crossvalidation)