DEVELOPMENT... OpenML
Run
112555

Run 112555

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)_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
0.7795
Per class
Build CPU time
24.7994
Build memory
972149237.0276
F measure
0.8231
Per class
Kappa
0.5154
KB relative information score
2215.4894
Mean absolute error
0.1714
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
0.821
Per class
Predictive accuracy
0.8275
Prior entropy
0.8085
Recall
0.8275
Per class
Relative absolute error
0.4593
Root mean prior squared error
0.4319
Root mean squared error
0.4102
Root relative squared error
0.9497
SciMark benchmark
906.6607