DEVELOPMENT... OpenML
Run
39379

Run 39379

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)_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
0.6608
Per class
Build CPU time
0.118
Build memory
1675554146.7586
F measure
0.6428
Per class
Kappa
0.2848
KB relative information score
24.8242
Mean absolute error
0.3569
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
0.6435
Per class
Predictive accuracy
0.6437
Prior entropy
0.9992
Recall
0.6437
Per class
Relative absolute error
0.7146
Root mean prior squared error
0.4997
Root mean squared error
0.5963
Root relative squared error
1.1932
SciMark benchmark
944.0892