DEVELOPMENT... OpenML
Run
105179

Run 105179

Task 269 (Supervised Classification) sonar Uploaded 09-12-2014 by Felicia West
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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
0.7942
Per class
Build CPU time
0.413
Build memory
317795504
F measure
0.7344
Per class
Kappa
0.4636
KB relative information score
31.8329
Mean absolute error
0.2632
Mean prior absolute error
0.4971
Number of instances
68
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7347
Per class
Predictive accuracy
0.7353
Prior entropy
0.9968
Recall
0.7353
Per class
Relative absolute error
0.5296
Root mean prior squared error
0.4982
Root mean squared error
0.5007
Root relative squared error
1.0052
SciMark benchmark
935.37