DEVELOPMENT... OpenML
Run
121765

Run 121765

Task 57 (Supervised Classification) ionosphere Uploaded 12-12-2014 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)_I160
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
0.9484
Per class
Build CPU time
85.3938
Build memory
82662054.1766
F measure
0.9484
Per class
Kappa
0.8874
KB relative information score
310.3222
Mean absolute error
0.0512
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
0.1113
Root mean prior squared error
0.4797
Root mean squared error
0.2258
Root relative squared error
0.4707
SciMark benchmark
931.6517