DEVELOPMENT... OpenML
Run
40442

Run 40442

Task 4418 (Supervised Classification) schlvote 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)_I80
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
0.6133
Per class
Build CPU time
0.0037
Build memory
504491403.4105
F measure
0.7344
Per class
Kappa
0.3036
KB relative information score
65.144
Mean absolute error
0.3087
Mean prior absolute error
0.3934
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
0.7306
Per class
Predictive accuracy
0.7395
Prior entropy
0.8485
Recall
0.7395
Per class
Relative absolute error
0.7847
Root mean prior squared error
0.4405
Root mean squared error
0.4348
Root relative squared error
0.987
SciMark benchmark
938.2803

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