DEVELOPMENT... OpenML
Run
108940

Run 108940

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)_I80
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
0.9672
Per class
Build CPU time
0.2977
Build memory
98293289.2536
F measure
0.9395
Per class
Kappa
0.8675
KB relative information score
290.6521
Mean absolute error
0.0812
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
0.9409
Per class
Predictive accuracy
0.9402
Prior entropy
0.9425
Recall
0.9402
Per class
Relative absolute error
0.1763
Root mean prior squared error
0.4797
Root mean squared error
0.2304
Root relative squared error
0.4803
SciMark benchmark
924.6733