DEVELOPMENT... OpenML
Run
44354

Run 44354

Task 4433 (Supervised Classification) sleuth_ex2015 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
0.5902
Per class
Build CPU time
0.2955
Build memory
156202336.96
F measure
0.5878
Per class
Kappa
0.1664
KB relative information score
98.7681
Mean absolute error
0.4118
Mean prior absolute error
0.4952
Number of instances
600
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5874
Per class
Predictive accuracy
0.5883
Prior entropy
0.9932
Recall
0.5883
Per class
Relative absolute error
0.8317
Root mean prior squared error
0.4975
Root mean squared error
0.6376
Root relative squared error
1.2817
SciMark benchmark
944.0386