DEVELOPMENT... OpenML
Run
144556

Run 144556

Task 3862 (Supervised Classification) audiology Uploaded 31-01-2015 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.

22 Evaluation measures

Area under ROC curve
0.9539
Per class
F measure
0.9689
Per class
Kappa
0.9174
KB relative information score
204.3648
Mean absolute error
0.0314
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
0.9689
Per class
Predictive accuracy
0.969
Prior entropy
0.8182
Recall
0.969
Per class
Relative absolute error
0.083
Root mean prior squared error
0.4343
Root mean squared error
0.1761
Root relative squared error
0.4055
SciMark benchmark
945.6434
UserCPU time millis
90
UserCPU time millis training
90