DEVELOPMENT... OpenML
Run
39113

Run 39113

Task 3907 (Supervised Classification) mc1 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
0.7769
Per class
Build CPU time
55.05
Build memory
231853719.2597
F measure
0.9929
Per class
Kappa
0.4063
KB relative information score
3179.2457
Mean absolute error
0.006
Mean prior absolute error
0.0144
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9931
Per class
Predictive accuracy
0.9942
Prior entropy
0.0622
Recall
0.9942
Per class
Relative absolute error
0.4156
Root mean prior squared error
0.0845
Root mean squared error
0.0753
Root relative squared error
0.8921
SciMark benchmark
941.2105