DEVELOPMENT... OpenML
Run
44113

Run 44113

Task 285 (Supervised Classification) vote 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)_I160
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
0.9642
Per class
Build CPU time
0.6
Build memory
373629272
F measure
0.9651
Per class
Kappa
0.9264
KB relative information score
131.9766
Mean absolute error
0.0351
Mean prior absolute error
0.4739
Number of instances
143
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9652
Per class
Predictive accuracy
0.965
Prior entropy
0.9627
Recall
0.965
Per class
Relative absolute error
0.0741
Root mean prior squared error
0.4865
Root mean squared error
0.187
Root relative squared error
0.3844
SciMark benchmark
897.921