DEVELOPMENT... OpenML
Run
131211

Run 131211

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
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
0.7762
Per class
Build CPU time
0.045
Build memory
2335799616
F measure
0.4596
Per class
Kappa
0.102
KB relative information score
6.3726
Mean absolute error
0.2494
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
0.8359
Root mean prior squared error
0.3886
Root mean squared error
0.376
Root relative squared error
0.9677
SciMark benchmark
937.5757