DEVELOPMENT... OpenML
Run
38148

Run 38148

Task 4600 (Supervised Classification) gina_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)_I10
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
0.9523
Per class
Build CPU time
195.8487
Build memory
165752067.3737
F measure
0.8843
Per class
Kappa
0.7686
KB relative information score
26496.9798
Mean absolute error
0.1185
Mean prior absolute error
0.4999
Number of instances
34680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8845
Per class
Predictive accuracy
0.8843
Prior entropy
0.9998
Recall
0.8843
Per class
Relative absolute error
0.2371
Root mean prior squared error
0.4999
Root mean squared error
0.319
Root relative squared error
0.638
SciMark benchmark
945.0342