DEVELOPMENT... OpenML
Run
39747

Run 39747

Task 4547 (Supervised Classification) waveform-5000 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
0.9486
Per class
Build CPU time
57.7496
Build memory
899686664.64
F measure
0.8814
Per class
Kappa
0.7344
KB relative information score
36045.6891
Mean absolute error
0.1197
Mean prior absolute error
0.4478
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8812
Per class
Predictive accuracy
0.8817
Prior entropy
0.9233
Recall
0.8817
Per class
Relative absolute error
0.2672
Root mean prior squared error
0.4732
Root mean squared error
0.3258
Root relative squared error
0.6885
SciMark benchmark
945.0342

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