Run
25868

Run 25868

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
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Flow

weka.LWL_IBk(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.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.LWL_IBk(2)_Atrue
weka.LWL_IBk(2)_K-1
weka.LWL_IBk(2)_U0
weka.LWL_IBk(2)_Wweka.classifiers.lazy.IBk

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
0.9846
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
409740200.8
Cross-validation details (10-fold Crossvalidation)
F measure
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.93
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.4586
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0358
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0805
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1754
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3721
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]