Run
50525

Run 50525

Task 1721 (Learning Curve) mfeat-zernike Uploaded 06-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.8019 ± 0.0179
Per class
Build CPU time
0.0002
Build memory
187159945.3091
F measure
0.6489 ± 0.0293
Per class
Kappa
0.6039 ± 0.0358
KB relative information score
0.6272 ± 0.0337
Mean absolute error
0.0713 ± 0.0064
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6549 ± 0.0276
Per class
Predictive accuracy
0.6435 ± 0.0322
Prior entropy
3.3219
Recall
0.6435 ± 0.0322
Per class
Relative absolute error
0.3961 ± 0.0358
Root mean prior squared error
0.3
Root mean squared error
0.267 ± 0.0121
Root relative squared error
0.8901 ± 0.0405
SciMark benchmark
1662.0484