DEVELOPMENT... OpenML
Run
25944

Run 25944

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

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I20
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.9712
Per class
Build CPU time
0.0183
Build memory
128575591.2
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
140.1524
Mean absolute error
0.0323
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
0.9534
Per class
Predictive accuracy
0.9533
Prior entropy
1.585
Recall
0.9533
Per class
Relative absolute error
0.0726
Root mean prior squared error
0.4714
Root mean squared error
0.1735
Root relative squared error
0.368
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]

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