DEVELOPMENT... OpenML
Run
44572

Run 44572

Task 3724 (Supervised Classification) vinnie Uploaded 30-10-2014 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
0.9093
Per class
Build CPU time
0.4838
Build memory
943909198.4
F measure
0.8368
Per class
Kappa
0.6739
KB relative information score
255.3346
Mean absolute error
0.1642
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.838
Per class
Predictive accuracy
0.8368
Prior entropy
0.9995
Recall
0.8368
Per class
Relative absolute error
0.3286
Root mean prior squared error
0.4998
Root mean squared error
0.377
Root relative squared error
0.7543
SciMark benchmark
944.7154