DEVELOPMENT... OpenML
Run
44259

Run 44259

Task 57 (Supervised Classification) ionosphere 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
0.9233
Per class
Build CPU time
10.1557
Build memory
1500148817.1852
F measure
0.9394
Per class
Kappa
0.867
KB relative information score
303.5293
Mean absolute error
0.0599
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9415
Per class
Predictive accuracy
0.9402
Prior entropy
0.9425
Recall
0.9402
Per class
Relative absolute error
0.13
Root mean prior squared error
0.4797
Root mean squared error
0.2446
Root relative squared error
0.5099
SciMark benchmark
936.9135