DEVELOPMENT... OpenML
Run
39413

Run 39413

Task 1937 (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
0.9303
Per class
Build CPU time
2.6761
Build memory
611312415.2137
F measure
0.9342
Per class
Kappa
0.8557
KB relative information score
2994.2198
Mean absolute error
0.0651
Mean prior absolute error
0.4604
Number of instances
3510
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.936
Per class
Predictive accuracy
0.935
Prior entropy
0.9425
Recall
0.935
Per class
Relative absolute error
0.1414
Root mean prior squared error
0.4797
Root mean squared error
0.2536
Root relative squared error
0.5286
SciMark benchmark
928.3063

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