DEVELOPMENT... OpenML
Run
44278

Run 44278

Task 3646 (Supervised Classification) rabe_265 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
0.5381
Per class
Build CPU time
0.159
Build memory
257546889.098
F measure
0.5686
Per class
Kappa
0.1095
KB relative information score
1.7929
Mean absolute error
0.4644
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5686
Per class
Predictive accuracy
0.5686
Prior entropy
0.9791
Recall
0.5686
Per class
Relative absolute error
0.9574
Root mean prior squared error
0.4922
Root mean squared error
0.6278
Root relative squared error
1.2756
SciMark benchmark
943.404