DEVELOPMENT... OpenML
Run
112634

Run 112634

Task 2125 (Supervised Classification) eucalyptus 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)_I20
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
0.8722
Per class
Build CPU time
0.384
Build memory
774572584
F measure
0.6509
Per class
Kappa
0.5528
KB relative information score
142.5522
Mean absolute error
0.1403
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6557
Per class
Predictive accuracy
0.6529
Prior entropy
2.2629
Recall
0.6529
Per class
Relative absolute error
0.4476
Root mean prior squared error
0.3959
Root mean squared error
0.3611
Root relative squared error
0.9121
SciMark benchmark
936.1433