DEVELOPMENT... OpenML
Run
105649

Run 105649

Task 3890 (Supervised Classification) ada_prior Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8838
Per class
Build CPU time
2.1481
Build memory
350914751.4862
F measure
0.8379
Per class
Kappa
0.5523
KB relative information score
1963.2548
Mean absolute error
0.2027
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
0.837
Per class
Predictive accuracy
0.8439
Prior entropy
0.8085
Recall
0.8439
Per class
Relative absolute error
0.5433
Root mean prior squared error
0.4319
Root mean squared error
0.3385
Root relative squared error
0.7836
SciMark benchmark
945.7844