DEVELOPMENT... OpenML
Run
113074

Run 113074

Task 55 (Supervised Classification) vote 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
0.9833
Per class
Build CPU time
0.0197
Build memory
582103133.9586
F measure
0.9541
Per class
Kappa
0.9034
KB relative information score
392.3075
Mean absolute error
0.0457
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9544
Per class
Predictive accuracy
0.954
Prior entropy
0.9627
Recall
0.954
Per class
Relative absolute error
0.0964
Root mean prior squared error
0.4869
Root mean squared error
0.1959
Root relative squared error
0.4023
SciMark benchmark
939.6298

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