DEVELOPMENT... OpenML
Run
133193

Run 133193

Task 3668 (Supervised Classification) delta_ailerons Uploaded 27-12-2014 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)_I20
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
0.9737
Per class
Build CPU time
6.7682
Build memory
527609295.3559
F measure
0.9446
Per class
Kappa
0.8887
KB relative information score
5983.8329
Mean absolute error
0.0865
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9446
Per class
Predictive accuracy
0.9446
Prior entropy
0.9973
Recall
0.9446
Per class
Relative absolute error
0.1736
Root mean prior squared error
0.4991
Root mean squared error
0.2154
Root relative squared error
0.4316
SciMark benchmark
943.8094