DEVELOPMENT... OpenML
Run
108425

Run 108425

Task 237 (Supervised Classification) audiology Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7302
Per class
Build CPU time
0.006
Build memory
1405621864
F measure
0.2244
Per class
Kappa
0.2395
KB relative information score
16.4022
Mean absolute error
0.0616
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
0.1659
Per class
Predictive accuracy
0.3784
Prior entropy
3.6349
Recall
0.3784
Per class
Relative absolute error
0.8362
Root mean prior squared error
0.1925
Root mean squared error
0.1818
Root relative squared error
0.9441
SciMark benchmark
943.7751

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