DEVELOPMENT... OpenML
Run
118555

Run 118555

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

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6819
Per class
Build CPU time
0.62
Build memory
470500576
F measure
0.5295
Per class
Kappa
0.2105
KB relative information score
3.8493
Mean absolute error
0.2393
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
0.5046
Per class
Predictive accuracy
0.5833
Prior entropy
1.5899
Recall
0.5833
Per class
Relative absolute error
0.802
Root mean prior squared error
0.3886
Root mean squared error
0.463
Root relative squared error
1.1916
SciMark benchmark
923.9118