DEVELOPMENT... OpenML
Run
75259

Run 75259

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.7854
Per class
Build CPU time
0.298
Build memory
2409920896
F measure
0.4596
Per class
Kappa
0.102
KB relative information score
6.3099
Mean absolute error
0.2526
Mean prior absolute error
0.2983
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3991
Per class
Predictive accuracy
0.5417
Prior entropy
1.5899
Recall
0.5417
Per class
Relative absolute error
0.8466
Root mean prior squared error
0.3886
Root mean squared error
0.3678
Root relative squared error
0.9466
SciMark benchmark
942.3187