DEVELOPMENT... OpenML
Run
117863

Run 117863

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)_I40
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
0.9343
Per class
Build CPU time
3.4094
Build memory
528101746.6903
F measure
0.9512
Per class
Kappa
0.8702
KB relative information score
190.3657
Mean absolute error
0.0524
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
0.9511
Per class
Predictive accuracy
0.9513
Prior entropy
0.8182
Recall
0.9513
Per class
Relative absolute error
0.1386
Root mean prior squared error
0.4343
Root mean squared error
0.2243
Root relative squared error
0.5164
SciMark benchmark
908.8705