DEVELOPMENT... OpenML
Run
40432

Run 40432

Task 3903 (Supervised Classification) pc3 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)_I80
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
0.7712
Per class
Build CPU time
16.8758
Build memory
1100201196.0486
F measure
0.8669
Per class
Kappa
0.1795
KB relative information score
280.8736
Mean absolute error
0.1125
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.857
Per class
Predictive accuracy
0.888
Prior entropy
0.478
Recall
0.888
Per class
Relative absolute error
0.6109
Root mean prior squared error
0.3031
Root mean squared error
0.3228
Root relative squared error
1.0648
SciMark benchmark
934.1739