DEVELOPMENT... OpenML
Run
149477

Run 149477

Task 3730 (Supervised Classification) fri_c2_1000_50 Uploaded 08-02-2015 by Felicia West
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
0.8543
Per class
F measure
0.8563
Per class
Kappa
0.7052
KB relative information score
694.0475
Mean absolute error
0.1485
Mean prior absolute error
0.4866
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8568
Per class
Predictive accuracy
0.856
Prior entropy
0.9806
Recall
0.856
Per class
Relative absolute error
0.3052
Root mean prior squared error
0.4932
Root mean squared error
0.3669
Root relative squared error
0.7438
SciMark benchmark
929.0255
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80