DEVELOPMENT... OpenML
Run
36552

Run 36552

Task 4583 (Supervised Classification) confidence 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
0.8535
Per class
Build CPU time
0.0019
Build memory
1252824379.8667
F measure
0.858
Per class
Kappa
0.4582
KB relative information score
195.1455
Mean absolute error
0.1749
Mean prior absolute error
0.2838
Number of instances
720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8554
Per class
Predictive accuracy
0.8681
Prior entropy
0.6705
Recall
0.8681
Per class
Relative absolute error
0.6164
Root mean prior squared error
0.3728
Root mean squared error
0.3225
Root relative squared error
0.8652
SciMark benchmark
909.9339