DEVELOPMENT... OpenML
Run
25950

Run 25950

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I40
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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
0.9729
Per class
Build CPU time
0.0064
Build memory
173172569.6
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
139.0455
Mean absolute error
0.0356
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.08
Root mean prior squared error
0.4714
Root mean squared error
0.1885
Root relative squared error
0.3999
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]

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