DEVELOPMENT... OpenML
Run
121311

Run 121311

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 11-12-2014 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)_I80
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
0.7319
Per class
Build CPU time
7.949
Build memory
457715088
F measure
0.6494
Per class
Kappa
0.4269
KB relative information score
11.0841
Mean absolute error
0.163
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
0.6333
Per class
Predictive accuracy
0.6667
Prior entropy
1.5899
Recall
0.6667
Per class
Relative absolute error
0.5462
Root mean prior squared error
0.3886
Root mean squared error
0.3998
Root relative squared error
1.029
SciMark benchmark
936.914