DEVELOPMENT... OpenML
Run
133792

Run 133792

Task 3668 (Supervised Classification) delta_ailerons Uploaded 28-12-2014 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)_I10
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
0.9738
Per class
Build CPU time
4.335
Build memory
798136345.4633
F measure
0.9447
Per class
Kappa
0.8889
KB relative information score
5985.3363
Mean absolute error
0.0864
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
0.9448
Per class
Predictive accuracy
0.9447
Prior entropy
0.9973
Recall
0.9447
Per class
Relative absolute error
0.1734
Root mean prior squared error
0.4991
Root mean squared error
0.2151
Root relative squared error
0.4309
SciMark benchmark
939.084