DEVELOPMENT... OpenML
Run
44922

Run 44922

Task 4563 (Supervised Classification) mfeat-zernike Uploaded 30-10-2014 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 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
0.9779
Per class
Build CPU time
70.35
Build memory
949201826.72
F measure
0.9941
Per class
Kappa
0.9671
KB relative information score
19080.0639
Mean absolute error
0.0059
Mean prior absolute error
0.1803
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9941
Per class
Predictive accuracy
0.9942
Prior entropy
0.4703
Recall
0.9942
Per class
Relative absolute error
0.0325
Root mean prior squared error
0.3
Root mean squared error
0.0765
Root relative squared error
0.255
SciMark benchmark
931.9798