DEVELOPMENT... OpenML
Run
120921

Run 120921

Task 3647 (Supervised Classification) rabe_266 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)_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
0.98
Per class
Build CPU time
1.4834
Build memory
131049748.8
F measure
0.9667
Per class
Kappa
0.9333
KB relative information score
111.9828
Mean absolute error
0.0332
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9672
Per class
Predictive accuracy
0.9667
Prior entropy
0.9983
Recall
0.9667
Per class
Relative absolute error
0.0666
Root mean prior squared error
0.4994
Root mean squared error
0.182
Root relative squared error
0.3645
SciMark benchmark
936.1433