DEVELOPMENT... OpenML
Run
35703

Run 35703

Task 4433 (Supervised Classification) sleuth_ex2015 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
0.619
Per class
Build CPU time
0.0158
Build memory
69309945.12
F measure
0.5886
Per class
Kappa
0.1672
KB relative information score
105.8304
Mean absolute error
0.4055
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
0.588
Per class
Predictive accuracy
0.59
Prior entropy
0.9932
Recall
0.59
Per class
Relative absolute error
0.819
Root mean prior squared error
0.4975
Root mean squared error
0.6247
Root relative squared error
1.2557
SciMark benchmark
944.2618