DEVELOPMENT... OpenML
Run
40992

Run 40992

Task 4554 (Supervised Classification) analcatdata_marketing 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
0.5196
Per class
Build CPU time
0.3434
Build memory
1054464797.8308
F measure
0.5845
Per class
Kappa
0.0057
KB relative information score
192.0245
Mean absolute error
0.3859
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
0.5705
Per class
Predictive accuracy
0.6146
Prior entropy
0.901
Recall
0.6146
Per class
Relative absolute error
0.8921
Root mean prior squared error
0.4649
Root mean squared error
0.601
Root relative squared error
1.2927
SciMark benchmark
935.2997