DEVELOPMENT... OpenML
Run
136481

Run 136481

Task 237 (Supervised Classification) audiology Uploaded 31-12-2014 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)_I160
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
0.7998
Per class
Build CPU time
0.004
Build memory
542520440
F measure
0.5917
Per class
Kappa
0.5824
KB relative information score
39.1025
Mean absolute error
0.0314
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5805
Per class
Predictive accuracy
0.6351
Prior entropy
3.6349
Recall
0.6351
Per class
Relative absolute error
0.4267
Root mean prior squared error
0.1925
Root mean squared error
0.1723
Root relative squared error
0.8951
SciMark benchmark
926.507