DEVELOPMENT... OpenML
Run
113418

Run 113418

Task 3722 (Supervised Classification) hungarian 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
0.8631
Per class
Build CPU time
0.0895
Build memory
430978159.0748
F measure
0.811
Per class
Kappa
0.5866
KB relative information score
161.4029
Mean absolute error
0.2041
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8106
Per class
Predictive accuracy
0.8129
Prior entropy
0.9439
Recall
0.8129
Per class
Relative absolute error
0.4423
Root mean prior squared error
0.4802
Root mean squared error
0.4058
Root relative squared error
0.8452
SciMark benchmark
936.1433