DEVELOPMENT... OpenML
Run
113357

Run 113357

Task 3647 (Supervised Classification) rabe_266 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)_I10
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
0.988
Per class
Build CPU time
0.0049
Build memory
668813728
F measure
0.95
Per class
Kappa
0.8997
KB relative information score
107.9567
Mean absolute error
0.05
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.95
Per class
Predictive accuracy
0.95
Prior entropy
0.9983
Recall
0.95
Per class
Relative absolute error
0.1002
Root mean prior squared error
0.4994
Root mean squared error
0.2174
Root relative squared error
0.4353
SciMark benchmark
945.0532