DEVELOPMENT... OpenML
Run
108755

Run 108755

Task 3765 (Supervised Classification) sleuth_case2002 Uploaded 09-12-2014 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)_I160
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
0.7111
Per class
Build CPU time
0.0443
Build memory
23769348.7891
F measure
0.7134
Per class
Kappa
0.4331
KB relative information score
36.9013
Mean absolute error
0.3844
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
0.7256
Per class
Predictive accuracy
0.7143
Prior entropy
0.9974
Recall
0.7143
Per class
Relative absolute error
0.7716
Root mean prior squared error
0.4991
Root mean squared error
0.4608
Root relative squared error
0.9233
SciMark benchmark
944.4197