DEVELOPMENT... OpenML
Run
120649

Run 120649

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)_I40
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
0.9355
Per class
Build CPU time
22.0687
Build memory
70675188.2165
F measure
0.9226
Per class
Kappa
0.8308
KB relative information score
290.0165
Mean absolute error
0.077
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
0.9229
Per class
Predictive accuracy
0.9231
Prior entropy
0.9425
Recall
0.9231
Per class
Relative absolute error
0.1672
Root mean prior squared error
0.4797
Root mean squared error
0.2756
Root relative squared error
0.5745
SciMark benchmark
886.6397