DEVELOPMENT... OpenML
Run
118390

Run 118390

Task 3890 (Supervised Classification) ada_prior Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8851
Per class
Build CPU time
64.844
Build memory
391425895.8737
F measure
0.8375
Per class
Kappa
0.5558
KB relative information score
1967.9634
Mean absolute error
0.1996
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8358
Per class
Predictive accuracy
0.8411
Prior entropy
0.8085
Recall
0.8411
Per class
Relative absolute error
0.5348
Root mean prior squared error
0.4319
Root mean squared error
0.3393
Root relative squared error
0.7854
SciMark benchmark
945.0532

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