DEVELOPMENT... OpenML
Run
40958

Run 40958

Task 4543 (Supervised Classification) autos 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)_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
0.912
Per class
Build CPU time
0.9485
Build memory
786435521.5844
F measure
0.9133
Per class
Kappa
0.8022
KB relative information score
1621.9918
Mean absolute error
0.0868
Mean prior absolute error
0.4406
Number of instances
2050
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9132
Per class
Predictive accuracy
0.9137
Prior entropy
0.9134
Recall
0.9137
Per class
Relative absolute error
0.197
Root mean prior squared error
0.4691
Root mean squared error
0.2928
Root relative squared error
0.6242
SciMark benchmark
941.8931