DEVELOPMENT... OpenML
Run
44252

Run 44252

Task 55 (Supervised Classification) vote 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
0.959
Per class
Build CPU time
0.7712
Build memory
1408714508.5609
F measure
0.954
Per class
Kappa
0.903
KB relative information score
391.7139
Mean absolute error
0.046
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.954
Per class
Predictive accuracy
0.954
Prior entropy
0.9627
Recall
0.954
Per class
Relative absolute error
0.0969
Root mean prior squared error
0.4869
Root mean squared error
0.2144
Root relative squared error
0.4404
SciMark benchmark
942.9632