DEVELOPMENT... OpenML
Run
95511

Run 95511

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6796
Per class
Build CPU time
0.0036
Build memory
435161448
F measure
0.6912
Per class
Kappa
0.3951
KB relative information score
33.7402
Mean absolute error
0.3947
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
0.7124
Per class
Predictive accuracy
0.6939
Prior entropy
0.9974
Recall
0.6939
Per class
Relative absolute error
0.7924
Root mean prior squared error
0.4991
Root mean squared error
0.4563
Root relative squared error
0.9143
SciMark benchmark
930.1524