DEVELOPMENT... OpenML
Run
95678

Run 95678

Task 3060 (Supervised Classification) squash-stored 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
0.7826
Per class
Build CPU time
0.004
Build memory
564925496
F measure
0.7118
Per class
Kappa
0.543
KB relative information score
6.6904
Mean absolute error
0.2942
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7471
Per class
Predictive accuracy
0.7059
Prior entropy
1.4782
Recall
0.7059
Per class
Relative absolute error
0.7066
Root mean prior squared error
0.4569
Root mean squared error
0.3924
Root relative squared error
0.8588
SciMark benchmark
930.1524