DEVELOPMENT... OpenML
Run
95352

Run 95352

Task 3647 (Supervised Classification) rabe_266 Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9826
Per class
Build CPU time
0.0027
Build memory
46729790.4
F measure
0.9417
Per class
Kappa
0.8835
KB relative information score
101.3802
Mean absolute error
0.0815
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.945
Per class
Predictive accuracy
0.9417
Prior entropy
0.9983
Recall
0.9417
Per class
Relative absolute error
0.1635
Root mean prior squared error
0.4994
Root mean squared error
0.22
Root relative squared error
0.4406
SciMark benchmark
940.7816