DEVELOPMENT... OpenML
Run
39214

Run 39214

Task 4455 (Supervised Classification) mbagrade 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)_I40
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
0.6502
Per class
Build CPU time
0.0212
Build memory
600261534.3869
F measure
0.5801
Per class
Kappa
0.1578
KB relative information score
100.2176
Mean absolute error
0.4162
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
0.58
Per class
Predictive accuracy
0.5803
Prior entropy
0.9984
Recall
0.5803
Per class
Relative absolute error
0.8344
Root mean prior squared error
0.4994
Root mean squared error
0.6146
Root relative squared error
1.2306
SciMark benchmark
944.7154