DEVELOPMENT... OpenML
Run
108426

Run 108426

Task 57 (Supervised Classification) ionosphere 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
0.9707
Per class
Build CPU time
0.5263
Build memory
71645472.9345
F measure
0.9247
Per class
Kappa
0.8344
KB relative information score
295.078
Mean absolute error
0.0722
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
0.9278
Per class
Predictive accuracy
0.9259
Prior entropy
0.9425
Recall
0.9259
Per class
Relative absolute error
0.1568
Root mean prior squared error
0.4797
Root mean squared error
0.2345
Root relative squared error
0.4887
SciMark benchmark
922.3661