DEVELOPMENT... OpenML
Run
105562

Run 105562

Task 3794 (Supervised Classification) disclosure_z Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.5099
Per class
Build CPU time
0.1288
Build memory
305292286.7553
F measure
0.5177
Per class
Kappa
0.0324
KB relative information score
4.904
Mean absolute error
0.4959
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5175
Per class
Predictive accuracy
0.5181
Prior entropy
0.9981
Recall
0.5181
Per class
Relative absolute error
0.9943
Root mean prior squared error
0.4993
Root mean squared error
0.533
Root relative squared error
1.0674
SciMark benchmark
935.37