DEVELOPMENT... OpenML
Run
44270

Run 44270

Task 3896 (Supervised Classification) ada_agnostic 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)_I160
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
0.8975
Per class
Build CPU time
137.5291
Build memory
2883643594.32
F measure
0.844
Per class
Kappa
0.5695
KB relative information score
2473.8897
Mean absolute error
0.1531
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
0.8433
Per class
Predictive accuracy
0.8496
Prior entropy
0.8085
Recall
0.8496
Per class
Relative absolute error
0.4103
Root mean prior squared error
0.4319
Root mean squared error
0.3702
Root relative squared error
0.8571
SciMark benchmark
941.2105