DEVELOPMENT... OpenML
Run
37348

Run 37348

Task 4429 (Supervised Classification) vinnie Uploaded 28-10-2014 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)_I20
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
0.9067
Per class
Build CPU time
0.0729
Build memory
947326218.88
F measure
0.8297
Per class
Kappa
0.6597
KB relative information score
2499.4164
Mean absolute error
0.1715
Mean prior absolute error
0.4997
Number of instances
3800
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.831
Per class
Predictive accuracy
0.8297
Prior entropy
0.9995
Recall
0.8297
Per class
Relative absolute error
0.3432
Root mean prior squared error
0.4998
Root mean squared error
0.381
Root relative squared error
0.7623
SciMark benchmark
943.1654