DEVELOPMENT... OpenML
Run
43972

Run 43972

Task 4360 (Supervised Classification) elusage Uploaded 29-10-2014 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
0.8991
Per class
Build CPU time
0.0495
Build memory
2201912704.2182
F measure
0.8666
Per class
Kappa
0.728
KB relative information score
401.358
Mean absolute error
0.1318
Mean prior absolute error
0.4922
Number of instances
550
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8676
Per class
Predictive accuracy
0.8673
Prior entropy
0.9891
Recall
0.8673
Per class
Relative absolute error
0.2678
Root mean prior squared error
0.4959
Root mean squared error
0.3468
Root relative squared error
0.6992
SciMark benchmark
946.2416