DEVELOPMENT... OpenML
Run
111989

Run 111989

Task 3896 (Supervised Classification) ada_agnostic 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
0.7697
Per class
Build CPU time
52.0128
Build memory
827425125.3678
F measure
0.8268
Per class
Kappa
0.5259
KB relative information score
2245.2099
Mean absolute error
0.1693
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8248
Per class
Predictive accuracy
0.831
Prior entropy
0.8085
Recall
0.831
Per class
Relative absolute error
0.4536
Root mean prior squared error
0.4319
Root mean squared error
0.4092
Root relative squared error
0.9473
SciMark benchmark
943.4039