DEVELOPMENT... OpenML
Run
44277

Run 44277

Task 4624 (Supervised Classification) pc2 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
0.5035
Per class
Build CPU time
156.5251
Build memory
1257914027.5209
F measure
0.9936
Per class
Kappa
0.0069
KB relative information score
3274.9256
Mean absolute error
0.0046
Mean prior absolute error
0.0084
Number of instances
55890
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.992
Per class
Predictive accuracy
0.9954
Prior entropy
0.0399
Recall
0.9954
Per class
Relative absolute error
0.5448
Root mean prior squared error
0.064
Root mean squared error
0.0673
Root relative squared error
1.0512
SciMark benchmark
943.404