DEVELOPMENT... OpenML
Run
108618

Run 108618

Task 3599 (Supervised Classification) machine_cpu 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
0.9644
Per class
Build CPU time
0.0519
Build memory
466523954.4115
F measure
0.928
Per class
Kappa
0.816
KB relative information score
168.6054
Mean absolute error
0.0682
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9279
Per class
Predictive accuracy
0.9282
Prior entropy
0.8417
Recall
0.9282
Per class
Relative absolute error
0.1735
Root mean prior squared error
0.4429
Root mean squared error
0.2414
Root relative squared error
0.5451
SciMark benchmark
923.3659