DEVELOPMENT... OpenML
Run
119644

Run 119644

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7619
Per class
Build CPU time
1.063
Build memory
795820320
F measure
0.625
Per class
Kappa
0.3775
KB relative information score
10.5448
Mean absolute error
0.1714
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
0.6319
Per class
Predictive accuracy
0.625
Prior entropy
1.5899
Recall
0.625
Per class
Relative absolute error
0.5746
Root mean prior squared error
0.3886
Root mean squared error
0.3849
Root relative squared error
0.9906
SciMark benchmark
927.3354