DEVELOPMENT... OpenML
Run
38466

Run 38466

Task 3834 (Supervised Classification) mfeat-fourier 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)_I20
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
0.9999
Per class
Build CPU time
0.5382
Build memory
734655516.8
F measure
0.997
Per class
Kappa
0.9832
KB relative information score
1928.274
Mean absolute error
0.0055
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.997
Per class
Predictive accuracy
0.997
Prior entropy
0.4703
Recall
0.997
Per class
Relative absolute error
0.0302
Root mean prior squared error
0.3
Root mean squared error
0.0493
Root relative squared error
0.1642
SciMark benchmark
897.921