DEVELOPMENT... OpenML
Run
117417

Run 117417

Task 237 (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
0.8387
Per class
Build CPU time
16.883
Build memory
206650392
F measure
0.5975
Per class
Kappa
0.5855
KB relative information score
39.8924
Mean absolute error
0.0304
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5886
Per class
Predictive accuracy
0.6351
Prior entropy
3.6349
Recall
0.6351
Per class
Relative absolute error
0.4129
Root mean prior squared error
0.1925
Root mean squared error
0.1734
Root relative squared error
0.9004
SciMark benchmark
916.8516