DEVELOPMENT... OpenML
Run
111112

Run 111112

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)_I160
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
0.805
Per class
Build CPU time
0.8177
Build memory
1199585830.7483
F measure
0.8004
Per class
Kappa
0.5632
KB relative information score
162.7711
Mean absolute error
0.1995
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
0.8001
Per class
Predictive accuracy
0.8027
Prior entropy
0.9439
Recall
0.8027
Per class
Relative absolute error
0.4323
Root mean prior squared error
0.4802
Root mean squared error
0.435
Root relative squared error
0.906
SciMark benchmark
916.8516