DEVELOPMENT... OpenML
Run
38054

Run 38054

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)_I20
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
0.5066
Per class
Build CPU time
0.1384
Build memory
832094749.6198
F measure
0.5826
Per class
Kappa
-0.0005
KB relative information score
198.7385
Mean absolute error
0.3856
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
0.5675
Per class
Predictive accuracy
0.6201
Prior entropy
0.901
Recall
0.6201
Per class
Relative absolute error
0.8914
Root mean prior squared error
0.4649
Root mean squared error
0.5848
Root relative squared error
1.2579
SciMark benchmark
938.4414