DEVELOPMENT... OpenML
Run
118854

Run 118854

Task 3836 (Supervised Classification) wine 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)_I10
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
0.9756
Per class
Build CPU time
0.1743
Build memory
362077156
F measure
0.9604
Per class
Kappa
0.917
KB relative information score
162.9192
Mean absolute error
0.0398
Mean prior absolute error
0.4798
Number of instances
178
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9618
Per class
Predictive accuracy
0.9607
Prior entropy
0.971
Recall
0.9607
Per class
Relative absolute error
0.0829
Root mean prior squared error
0.4897
Root mean squared error
0.1981
Root relative squared error
0.4045
SciMark benchmark
924.2473