DEVELOPMENT... OpenML
Run
111361

Run 111361

Task 269 (Supervised Classification) sonar Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.806
Per class
Build CPU time
0.964
Build memory
309258672
F measure
0.8077
Per class
Kappa
0.6116
KB relative information score
41.0521
Mean absolute error
0.1969
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
0.8098
Per class
Predictive accuracy
0.8088
Prior entropy
0.9968
Recall
0.8088
Per class
Relative absolute error
0.3961
Root mean prior squared error
0.4982
Root mean squared error
0.4387
Root relative squared error
0.8806
SciMark benchmark
943.4039