DEVELOPMENT... OpenML
Run
117952

Run 117952

Task 57 (Supervised Classification) ionosphere Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9473
Per class
Build CPU time
1.8465
Build memory
792207420.9231
F measure
0.9391
Per class
Kappa
0.866
KB relative information score
303.5135
Mean absolute error
0.06
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
0.9431
Per class
Predictive accuracy
0.9402
Prior entropy
0.9425
Recall
0.9402
Per class
Relative absolute error
0.1303
Root mean prior squared error
0.4797
Root mean squared error
0.2395
Root relative squared error
0.4993
SciMark benchmark
919.5971

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