DEVELOPMENT... OpenML
Run
117199

Run 117199

Task 3668 (Supervised Classification) delta_ailerons Uploaded 10-12-2014 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)_I80
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
0.9748
Per class
Build CPU time
34.6242
Build memory
802196395.9119
F measure
0.9381
Per class
Kappa
0.8757
KB relative information score
6039.2095
Mean absolute error
0.0801
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
0.9382
Per class
Predictive accuracy
0.9381
Prior entropy
0.9973
Recall
0.9381
Per class
Relative absolute error
0.1607
Root mean prior squared error
0.4991
Root mean squared error
0.2247
Root relative squared error
0.4503
SciMark benchmark
919.5971