DEVELOPMENT... OpenML
Run
117707

Run 117707

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)_I40
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
16.397
Build memory
499334058.4497
F measure
0.9385
Per class
Kappa
0.8765
KB relative information score
5992.0404
Mean absolute error
0.0842
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
0.9386
Per class
Predictive accuracy
0.9386
Prior entropy
0.9973
Recall
0.9386
Per class
Relative absolute error
0.169
Root mean prior squared error
0.4991
Root mean squared error
0.2248
Root relative squared error
0.4505
SciMark benchmark
945.0532