DEVELOPMENT... OpenML
Run
95324

Run 95324

Task 57 (Supervised Classification) ionosphere 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
0.9346
Per class
Build CPU time
0.0467
Build memory
55109543.567
F measure
0.9099
Per class
Kappa
0.8015
KB relative information score
233.5829
Mean absolute error
0.1659
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9142
Per class
Predictive accuracy
0.9117
Prior entropy
0.9425
Recall
0.9117
Per class
Relative absolute error
0.3603
Root mean prior squared error
0.4797
Root mean squared error
0.2749
Root relative squared error
0.573
SciMark benchmark
930.1524