DEVELOPMENT... OpenML
Run
121885

Run 121885

Task 2125 (Supervised Classification) eucalyptus 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
0.7925
Per class
Build CPU time
824.515
Build memory
249029592
F measure
0.6539
Per class
Kappa
0.5614
KB relative information score
142.8934
Mean absolute error
0.1366
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
0.6667
Per class
Predictive accuracy
0.6612
Prior entropy
2.2629
Recall
0.6612
Per class
Relative absolute error
0.4358
Root mean prior squared error
0.3959
Root mean squared error
0.3658
Root relative squared error
0.9239
SciMark benchmark
942.3919