DEVELOPMENT... OpenML
Run
44811

Run 44811

Task 4554 (Supervised Classification) analcatdata_marketing 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
0.5124
Per class
Build CPU time
1.0479
Build memory
2455753393.3077
F measure
0.5831
Per class
Kappa
0.0024
KB relative information score
171.8301
Mean absolute error
0.3885
Mean prior absolute error
0.4326
Number of instances
3640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5689
Per class
Predictive accuracy
0.6132
Prior entropy
0.901
Recall
0.6132
Per class
Relative absolute error
0.898
Root mean prior squared error
0.4649
Root mean squared error
0.61
Root relative squared error
1.3121
SciMark benchmark
941.2906