DEVELOPMENT... OpenML
Run
136955

Run 136955

Task 3862 (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
0.9102
Per class
Build CPU time
0.0166
Build memory
1063893356.885
F measure
0.9125
Per class
Kappa
0.7707
KB relative information score
159.6227
Mean absolute error
0.0987
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9141
Per class
Predictive accuracy
0.9115
Prior entropy
0.8182
Recall
0.9115
Per class
Relative absolute error
0.2608
Root mean prior squared error
0.4343
Root mean squared error
0.2854
Root relative squared error
0.6572
SciMark benchmark
907.3828