DEVELOPMENT... OpenML
Run
25871

Run 25871

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LWL_RandomTree(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.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.LWL_RandomTree(2)_Atrue
weka.LWL_RandomTree(2)_K-1
weka.LWL_RandomTree(2)_U0
weka.LWL_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.96
Per class
Build CPU time
0.0002
Build memory
435654396
F measure
0.9466
Per class
Kappa
0.92
KB relative information score
139.0474
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
0.9471
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
0.1886
Root relative squared error
0.4
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]