DEVELOPMENT... OpenML
Run
37972

Run 37972

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6632
Per class
Build CPU time
0.0775
Build memory
582476194.2313
F measure
0.626
Per class
Kappa
0.2495
KB relative information score
33.9144
Mean absolute error
0.3836
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6262
Per class
Predictive accuracy
0.6259
Prior entropy
0.9974
Recall
0.6259
Per class
Relative absolute error
0.77
Root mean prior squared error
0.4991
Root mean squared error
0.5904
Root relative squared error
1.1831
SciMark benchmark
938.0657