DEVELOPMENT... OpenML
Run
41286

Run 41286

Task 3836 (Supervised Classification) wine Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9889
Per class
Build CPU time
0.0134
Build memory
1865294513.4382
F measure
0.9717
Per class
Kappa
0.9407
KB relative information score
159.6801
Mean absolute error
0.0547
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
0.9732
Per class
Predictive accuracy
0.9719
Prior entropy
0.971
Recall
0.9719
Per class
Relative absolute error
0.114
Root mean prior squared error
0.4897
Root mean squared error
0.1604
Root relative squared error
0.3275
SciMark benchmark
943.404