DEVELOPMENT... OpenML
Run
36034

Run 36034

Task 1935 (Supervised Classification) vote 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)_I10
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
0.9736
Per class
Build CPU time
0.0341
Build memory
950304991.246
F measure
0.9594
Per class
Kappa
0.9144
KB relative information score
3962.771
Mean absolute error
0.0412
Mean prior absolute error
0.4742
Number of instances
4350
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9594
Per class
Predictive accuracy
0.9593
Prior entropy
0.9627
Recall
0.9593
Per class
Relative absolute error
0.0868
Root mean prior squared error
0.4869
Root mean squared error
0.1996
Root relative squared error
0.4099
SciMark benchmark
890.4487