DEVELOPMENT... OpenML
Run
116781

Run 116781

Task 3836 (Supervised Classification) wine Uploaded 09-12-2014 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)_I160
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
0.9667
Per class
Build CPU time
3.3179
Build memory
1873001376.9438
F measure
0.9605
Per class
Kappa
0.9174
KB relative information score
163.5092
Mean absolute error
0.0377
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
0.9609
Per class
Predictive accuracy
0.9607
Prior entropy
0.971
Recall
0.9607
Per class
Relative absolute error
0.0785
Root mean prior squared error
0.4897
Root mean squared error
0.1905
Root relative squared error
0.389
SciMark benchmark
914.1182