Run
105624

Run 105624

Task 3862 (Supervised Classification) audiology Uploaded 09-12-2014 by Joaquin Vanschoren
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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.

21 Evaluation measures

Area under ROC curve
0.9539
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0512
Cross-validation details (10-fold Crossvalidation)
Build memory
1048547330.3363
Cross-validation details (10-fold Crossvalidation)
F measure
0.9689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9174
Cross-validation details (10-fold Crossvalidation)
KB relative information score
204.3648
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0314
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3783
Cross-validation details (10-fold Crossvalidation)
Number of instances
226
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9689
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.969
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8182
Cross-validation details (10-fold Crossvalidation)
Recall
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.083
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4343
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1761
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4055
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.37