DEVELOPMENT... OpenML
Run
37730

Run 37730

Task 3726 (Supervised Classification) sleuth_ex2016 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)_I20
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
0.7119
Per class
Build CPU time
0.0603
Build memory
1077795853.3333
F measure
0.6659
Per class
Kappa
0.3309
KB relative information score
31.6254
Mean absolute error
0.3164
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6667
Per class
Predictive accuracy
0.6667
Prior entropy
0.9992
Recall
0.6667
Per class
Relative absolute error
0.6336
Root mean prior squared error
0.4997
Root mean squared error
0.5531
Root relative squared error
1.1068
SciMark benchmark
941.4059