DEVELOPMENT... OpenML
Run
105536

Run 105536

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6119
Per class
Build CPU time
0.0177
Build memory
1131285035.2653
F measure
0.558
Per class
Kappa
0.1131
KB relative information score
14.2559
Mean absolute error
0.4474
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5582
Per class
Predictive accuracy
0.5578
Prior entropy
0.9974
Recall
0.5578
Per class
Relative absolute error
0.898
Root mean prior squared error
0.4991
Root mean squared error
0.5966
Root relative squared error
1.1955
SciMark benchmark
944.3832