DEVELOPMENT... OpenML
Run
119588

Run 119588

Task 1787 (Supervised Classification) cmc 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)_I10
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
0.6624
Per class
Build CPU time
8.2854
Build memory
1437592253.5788
F measure
0.4917
Per class
Kappa
0.212
KB relative information score
1977.7674
Mean absolute error
0.3421
Mean prior absolute error
0.4308
Number of instances
7365
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4911
Per class
Predictive accuracy
0.4927
Prior entropy
1.5392
Recall
0.4927
Per class
Relative absolute error
0.7941
Root mean prior squared error
0.4641
Root mean squared error
0.5302
Root relative squared error
1.1424
SciMark benchmark
927.3354