DEVELOPMENT... OpenML
Run
121182

Run 121182

Task 57 (Supervised Classification) ionosphere Uploaded 11-12-2014 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)_I80
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
0.9441
Per class
Build CPU time
41.5447
Build memory
271024695.1567
F measure
0.9484
Per class
Kappa
0.8874
KB relative information score
309.8448
Mean absolute error
0.052
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
0.9488
Per class
Predictive accuracy
0.9487
Prior entropy
0.9425
Recall
0.9487
Per class
Relative absolute error
0.113
Root mean prior squared error
0.4797
Root mean squared error
0.2269
Root relative squared error
0.4729
SciMark benchmark
924.2934