DEVELOPMENT... OpenML
Run
118306

Run 118306

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)_I20
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
0.9774
Per class
Build CPU time
0.3654
Build memory
952813656.1798
F measure
0.9661
Per class
Kappa
0.929
KB relative information score
164.6586
Mean absolute error
0.0354
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
0.967
Per class
Predictive accuracy
0.9663
Prior entropy
0.971
Recall
0.9663
Per class
Relative absolute error
0.0737
Root mean prior squared error
0.4897
Root mean squared error
0.1845
Root relative squared error
0.3768
SciMark benchmark
916.8516