DEVELOPMENT... OpenML
Run
39010

Run 39010

Task 57 (Supervised Classification) ionosphere 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)_I40
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
0.9221
Per class
Build CPU time
2.6513
Build memory
1571195755.0769
F measure
0.9277
Per class
Kappa
0.8411
KB relative information score
294.5667
Mean absolute error
0.0712
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
0.9304
Per class
Predictive accuracy
0.9288
Prior entropy
0.9425
Recall
0.9288
Per class
Relative absolute error
0.1547
Root mean prior squared error
0.4797
Root mean squared error
0.2669
Root relative squared error
0.5563
SciMark benchmark
945.6653