DEVELOPMENT... OpenML
Run
39655

Run 39655

Task 4554 (Supervised Classification) analcatdata_marketing Uploaded 28-10-2014 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)_I40
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
0.5157
Per class
Build CPU time
0.1886
Build memory
1419149362.3209
F measure
0.5885
Per class
Kappa
0.0143
KB relative information score
226.4875
Mean absolute error
0.3825
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
0.5748
Per class
Predictive accuracy
0.6217
Prior entropy
0.901
Recall
0.6217
Per class
Relative absolute error
0.8841
Root mean prior squared error
0.4649
Root mean squared error
0.59
Root relative squared error
1.2691
SciMark benchmark
945.8425

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