DEVELOPMENT... OpenML
Run
44429

Run 44429

Task 4455 (Supervised Classification) mbagrade 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
0.6365
Per class
Build CPU time
0.0808
Build memory
146717231.7902
F measure
0.5915
Per class
Kappa
0.1807
KB relative information score
104.565
Mean absolute error
0.4132
Mean prior absolute error
0.4988
Number of instances
610
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5914
Per class
Predictive accuracy
0.5918
Prior entropy
0.9984
Recall
0.5918
Per class
Relative absolute error
0.8283
Root mean prior squared error
0.4994
Root mean squared error
0.613
Root relative squared error
1.2275
SciMark benchmark
936.9135