DEVELOPMENT... OpenML
Run
112265

Run 112265

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)_I40
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
0.9471
Per class
Build CPU time
7.9804
Build memory
109483683.6987
F measure
0.9405
Per class
Kappa
0.8805
KB relative information score
6280.3046
Mean absolute error
0.0591
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
0.9405
Per class
Predictive accuracy
0.9405
Prior entropy
0.9973
Recall
0.9405
Per class
Relative absolute error
0.1187
Root mean prior squared error
0.4991
Root mean squared error
0.2415
Root relative squared error
0.4839
SciMark benchmark
934.6076