DEVELOPMENT... OpenML
Run
120080

Run 120080

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

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9414
Per class
Build CPU time
11.8543
Build memory
1420071683.4872
F measure
0.928
Per class
Kappa
0.8422
KB relative information score
295.1232
Mean absolute error
0.0703
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
0.9293
Per class
Predictive accuracy
0.9288
Prior entropy
0.9425
Recall
0.9288
Per class
Relative absolute error
0.1527
Root mean prior squared error
0.4797
Root mean squared error
0.2611
Root relative squared error
0.5443
SciMark benchmark
934.8107