DEVELOPMENT... OpenML
Run
129410

Run 129410

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.6218
Per class
Build CPU time
0.041
Build memory
427232440
F measure
0.4333
Per class
Kappa
0.0294
KB relative information score
3.4008
Mean absolute error
0.2449
Mean prior absolute error
0.2983
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3611
Per class
Predictive accuracy
0.5417
Prior entropy
1.5899
Recall
0.5417
Per class
Relative absolute error
0.8208
Root mean prior squared error
0.3886
Root mean squared error
0.4574
Root relative squared error
1.1771
SciMark benchmark
916.8903