DEVELOPMENT... OpenML
Run
44588

Run 44588

Task 4488 (Supervised Classification) fri_c2_500_50 Uploaded 30-10-2014 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
0.9232
Per class
Build CPU time
24.1385
Build memory
184232037.44
F measure
0.9141
Per class
Kappa
0.8218
KB relative information score
4104.5768
Mean absolute error
0.0853
Mean prior absolute error
0.4839
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9149
Per class
Predictive accuracy
0.9146
Prior entropy
0.9767
Recall
0.9146
Per class
Relative absolute error
0.1763
Root mean prior squared error
0.4918
Root mean squared error
0.2896
Root relative squared error
0.5888
SciMark benchmark
897.921