DEVELOPMENT... OpenML
Run
38970

Run 38970

Task 3890 (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)_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
0.8941
Per class
Build CPU time
6.7541
Build memory
535563006.6725
F measure
0.841
Per class
Kappa
0.5606
KB relative information score
2453.1169
Mean absolute error
0.1547
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8404
Per class
Predictive accuracy
0.847
Prior entropy
0.8085
Recall
0.847
Per class
Relative absolute error
0.4145
Root mean prior squared error
0.4319
Root mean squared error
0.3759
Root relative squared error
0.8703
SciMark benchmark
940.0668