DEVELOPMENT... OpenML
Run
119833

Run 119833

Task 3672 (Supervised Classification) kin8nm 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
0.9081
Per class
Build CPU time
66.3073
Build memory
431749562.8535
F measure
0.8298
Per class
Kappa
0.6596
KB relative information score
5400.4086
Mean absolute error
0.1705
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8299
Per class
Predictive accuracy
0.8298
Prior entropy
0.9998
Recall
0.8298
Per class
Relative absolute error
0.341
Root mean prior squared error
0.4999
Root mean squared error
0.3821
Root relative squared error
0.7644
SciMark benchmark
902.712