DEVELOPMENT... OpenML
Run
25867

Run 25867

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

weka.LWL_SMO_PolyKernel(2)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
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.LWL_SMO_PolyKernel(2)_Atrue
weka.LWL_SMO_PolyKernel(2)_K-1
weka.LWL_SMO_PolyKernel(2)_U0
weka.LWL_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
0.9718
Per class
Build CPU time
0.0001
Build memory
209101439.2
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
90.223
Mean absolute error
0.2326
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
0.5233
Root mean prior squared error
0.4714
Root mean squared error
0.2906
Root relative squared error
0.6164
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]