DEVELOPMENT... OpenML
Run
111736

Run 111736

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

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9435
Per class
Build CPU time
19.1041
Build memory
151739324.2531
F measure
0.9409
Per class
Kappa
0.8814
KB relative information score
6278.8638
Mean absolute error
0.0593
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
0.9409
Per class
Predictive accuracy
0.9409
Prior entropy
0.9973
Recall
0.9409
Per class
Relative absolute error
0.1191
Root mean prior squared error
0.4991
Root mean squared error
0.2425
Root relative squared error
0.4858
SciMark benchmark
939.6298