DEVELOPMENT... OpenML
Run
116686

Run 116686

Task 3668 (Supervised Classification) delta_ailerons Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9759
Per class
Build CPU time
64.6387
Build memory
1202372488.8921
F measure
0.9395
Per class
Kappa
0.8786
KB relative information score
6110.6261
Mean absolute error
0.074
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
0.9395
Per class
Predictive accuracy
0.9395
Prior entropy
0.9973
Recall
0.9395
Per class
Relative absolute error
0.1485
Root mean prior squared error
0.4991
Root mean squared error
0.2243
Root relative squared error
0.4493
SciMark benchmark
914.1182