DEVELOPMENT... OpenML
Run
22250

Run 22250

Task 2079 (Supervised Classification) eucalyptus Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(1)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(1)_I160
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7933
Per class
F measure
0.6568
Per class
Kappa
0.561
KB relative information score
435.3971
Mean absolute error
0.1363
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
0.6585
Per class
Predictive accuracy
0.659
Prior entropy
2.2629
Recall
0.659
Per class
Relative absolute error
0.4353
Root mean prior squared error
0.3957
Root mean squared error
0.3677
Root relative squared error
0.9291
SciMark benchmark
942.4148[550.58101308439061012.8541257252805483.6674820550281911.17132945493631753.8001309030865]

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