DEVELOPMENT... OpenML
Run
39023

Run 39023

Task 3896 (Supervised Classification) ada_agnostic 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
0.8951
Per class
Build CPU time
42.9
Build memory
734541873.3854
F measure
0.844
Per class
Kappa
0.5704
KB relative information score
2467.7974
Mean absolute error
0.1537
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
0.8431
Per class
Predictive accuracy
0.8492
Prior entropy
0.8085
Recall
0.8492
Per class
Relative absolute error
0.412
Root mean prior squared error
0.4319
Root mean squared error
0.3734
Root relative squared error
0.8645
SciMark benchmark
945.0342