DEVELOPMENT... OpenML
Run
135795

Run 135795

Task 3896 (Supervised Classification) ada_agnostic Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.731
Per class
Build CPU time
0.0954
Build memory
2230985811.8246
F measure
0.7973
Per class
Kappa
0.4587
KB relative information score
1781.1868
Mean absolute error
0.2034
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
0.798
Per class
Predictive accuracy
0.7966
Prior entropy
0.8085
Recall
0.7966
Per class
Relative absolute error
0.5451
Root mean prior squared error
0.4319
Root mean squared error
0.451
Root relative squared error
1.0442
SciMark benchmark
934.6076