DEVELOPMENT... OpenML
Run
39062

Run 39062

Task 3911 (Supervised Classification) ar4 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
0.8227
Per class
Build CPU time
0.3564
Build memory
1880994587.1402
F measure
0.832
Per class
Kappa
0.4216
KB relative information score
42.1251
Mean absolute error
0.1527
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Predictive accuracy
0.8411
Prior entropy
0.707
Recall
0.8411
Per class
Relative absolute error
0.4966
Root mean prior squared error
0.3899
Root mean squared error
0.3536
Root relative squared error
0.9068
SciMark benchmark
945.6653