DEVELOPMENT... OpenML
Run
120509

Run 120509

Task 3806 (Supervised Classification) fri_c0_500_10 Uploaded 10-12-2014 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)_I20
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
0.9157
Per class
Build CPU time
4.4367
Build memory
855830019.2
F measure
0.8658
Per class
Kappa
0.7312
KB relative information score
363.1459
Mean absolute error
0.1369
Mean prior absolute error
0.4994
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8665
Per class
Predictive accuracy
0.866
Prior entropy
0.9991
Recall
0.866
Per class
Relative absolute error
0.2742
Root mean prior squared error
0.4997
Root mean squared error
0.3541
Root relative squared error
0.7087
SciMark benchmark
942.3919

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