DEVELOPMENT... OpenML
Run
44778

Run 44778

Task 4543 (Supervised Classification) autos Uploaded 30-10-2014 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
0.9064
Per class
Build CPU time
2.2664
Build memory
990631255.1649
F measure
0.9139
Per class
Kappa
0.804
KB relative information score
1626.876
Mean absolute error
0.0857
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
0.9138
Per class
Predictive accuracy
0.9141
Prior entropy
0.9134
Recall
0.9141
Per class
Relative absolute error
0.1945
Root mean prior squared error
0.4691
Root mean squared error
0.2912
Root relative squared error
0.6207
SciMark benchmark
935.2997