DEVELOPMENT... OpenML
Run
121316

Run 121316

Task 2125 (Supervised Classification) eucalyptus 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
0.7987
Per class
Build CPU time
444.026
Build memory
636981864
F measure
0.6479
Per class
Kappa
0.552
KB relative information score
141.7563
Mean absolute error
0.1383
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.655
Per class
Predictive accuracy
0.6529
Prior entropy
2.2629
Recall
0.6529
Per class
Relative absolute error
0.4412
Root mean prior squared error
0.3959
Root mean squared error
0.3685
Root relative squared error
0.9309
SciMark benchmark
936.1433