DEVELOPMENT... OpenML
Run
112042

Run 112042

Task 2079 (Supervised Classification) eucalyptus Uploaded 09-12-2014 by Jason
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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
0.8306
Per class
Build CPU time
0.7911
Build memory
839744828.7391
F measure
0.6351
Per class
Kappa
0.5336
KB relative information score
420.5484
Mean absolute error
0.1448
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6359
Per class
Predictive accuracy
0.6372
Prior entropy
2.2629
Recall
0.6372
Per class
Relative absolute error
0.4623
Root mean prior squared error
0.3957
Root mean squared error
0.3736
Root relative squared error
0.944
SciMark benchmark
936.1433