DEVELOPMENT... OpenML
Run
25928

Run 25928

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

weka.MultiBoostAB_SMO_PolyKernel(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1
weka.MultiBoostAB_SMO_PolyKernel(2)_C3
weka.MultiBoostAB_SMO_PolyKernel(2)_P100
weka.MultiBoostAB_SMO_PolyKernel(2)_S1
weka.MultiBoostAB_SMO_PolyKernel(2)_I160
weka.MultiBoostAB_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO

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
0.9981
Per class
Build CPU time
0.2866
Build memory
351795975.2
F measure
0.9733
Per class
Kappa
0.96
KB relative information score
143.1176
Mean absolute error
0.0231
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
0.9738
Per class
Predictive accuracy
0.9733
Prior entropy
1.585
Recall
0.9733
Per class
Relative absolute error
0.0521
Root mean prior squared error
0.4714
Root mean squared error
0.1338
Root relative squared error
0.2837
SciMark benchmark
1552.123[1005.03639414864881228.1421293642538659.95191291999961356.50193714447323510.9824662080687]