DEVELOPMENT... OpenML
Run
30999

Run 30999

Task 2978 (Supervised Classification) meta_ensembles.arff Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.6985
Per class
Build CPU time
0.2873
Build memory
3035115474.5946
F measure
0.6502
Per class
Kappa
0.3646
KB relative information score
193.7085
Mean absolute error
0.2375
Mean prior absolute error
0.2904
Number of instances
740
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6478
Per class
Predictive accuracy
0.6689
Prior entropy
1.5899
Recall
0.6689
Per class
Relative absolute error
0.8178
Root mean prior squared error
0.3782
Root mean squared error
0.357
Root relative squared error
0.9441
SciMark benchmark
946.3774