DEVELOPMENT... OpenML
Run
151784

Run 151784

Task 226 (Supervised Classification) RandomRBF_10_1E-4 Uploaded 09-02-2015 by Felicia West
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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
0.9849 ± 0.0004
Per class
F measure
0.8854 ± 0.0022
Per class
Kappa
0.8514 ± 0.0028
KB relative information score
0.8162 ± 0.0013
Mean absolute error
0.0713 ± 0.0004
Mean prior absolute error
0.3093 ± 0
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8865 ± 0.0022
Per class
Predictive accuracy
0.8855 ± 0.0022
Prior entropy
2.2205 ± 0
Recall
0.8855 ± 0.0022
Per class
Relative absolute error
0.2306 ± 0.0014
Root mean prior squared error
0.3932 ± 0
Root mean squared error
0.1792 ± 0.0012
Root relative squared error
0.4558 ± 0.003
SciMark benchmark
930.32
UserCPU time millis
17087370
UserCPU time millis testing
83040
UserCPU time millis training
17004330