DEVELOPMENT... OpenML
Run
137019

Run 137019

Task 7 (Supervised Classification) audiology Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9229
Per class
Build CPU time
0.0854
Build memory
511987773.8407
F measure
0.6992
Per class
Kappa
0.6774
KB relative information score
69.1374
Mean absolute error
0.0625
Mean prior absolute error
0.0724
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
0.7034
Per class
Predictive accuracy
0.7257
Prior entropy
3.6349
Recall
0.7257
Per class
Relative absolute error
0.8636
Root mean prior squared error
0.1893
Root mean squared error
0.1629
Root relative squared error
0.8605
SciMark benchmark
907.3828

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