DEVELOPMENT... OpenML
Run
117065

Run 117065

Task 3045 (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)_I80
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
0.9765
Per class
Build CPU time
1.328
Build memory
981674040
F measure
0.9654
Per class
Kappa
0.9467
KB relative information score
54.5794
Mean absolute error
0.023
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
0.9676
Per class
Predictive accuracy
0.9655
Prior entropy
1.5674
Recall
0.9655
Per class
Relative absolute error
0.0528
Root mean prior squared error
0.4648
Root mean squared error
0.1516
Root relative squared error
0.3262
SciMark benchmark
913.3372