DEVELOPMENT... OpenML
Run
46927

Run 46927

Task 4209 (Supervised Classification) webdata_wXa Uploaded 05-11-2014 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
0.8824
Per class
Build CPU time
6266.5653
Build memory
979550682.3918
F measure
0.8246
Per class
Kappa
0.5035
KB relative information score
175287.4702
Mean absolute error
0.1714
Mean prior absolute error
0.3648
Number of instances
369740
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8229
Per class
Predictive accuracy
0.8317
Prior entropy
0.7951
Recall
0.8317
Per class
Relative absolute error
0.4699
Root mean prior squared error
0.4271
Root mean squared error
0.383
Root relative squared error
0.8968
SciMark benchmark
942.3742