DEVELOPMENT... OpenML
Run
118330

Run 118330

Task 3862 (Supervised Classification) audiology Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I20
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9486
Per class
Build CPU time
1.8302
Build memory
1736232938.7965
F measure
0.9555
Per class
Kappa
0.8813
KB relative information score
195.5817
Mean absolute error
0.0447
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
0.9554
Per class
Predictive accuracy
0.9558
Prior entropy
0.8182
Recall
0.9558
Per class
Relative absolute error
0.1181
Root mean prior squared error
0.4343
Root mean squared error
0.2103
Root relative squared error
0.4843
SciMark benchmark
916.8516