DEVELOPMENT... OpenML
Run
110909

Run 110909

Task 3045 (Supervised Classification) wine 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)_I160
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
0.9765
Per class
Build CPU time
0.136
Build memory
61084264
F measure
0.9308
Per class
Kappa
0.8945
KB relative information score
52.1934
Mean absolute error
0.0433
Mean prior absolute error
0.4356
Number of instances
58
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9403
Per class
Predictive accuracy
0.931
Prior entropy
1.5674
Recall
0.931
Per class
Relative absolute error
0.0994
Root mean prior squared error
0.4648
Root mean squared error
0.2031
Root relative squared error
0.4369
SciMark benchmark
941.1732

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