DEVELOPMENT... OpenML
Run
38456

Run 38456

Task 4595 (Supervised Classification) ada_prior 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
0.8906
Per class
Build CPU time
4.4189
Build memory
1143122623.6093
F measure
0.8404
Per class
Kappa
0.5601
KB relative information score
24271.2475
Mean absolute error
0.157
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8394
Per class
Predictive accuracy
0.8459
Prior entropy
0.8085
Recall
0.8459
Per class
Relative absolute error
0.4206
Root mean prior squared error
0.4319
Root mean squared error
0.3729
Root relative squared error
0.8634
SciMark benchmark
945.6653