DEVELOPMENT... OpenML
Run
58689

Run 58689

Task 1705 (Learning Curve) letter Uploaded 15-11-2014 by Jason
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  • curves 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
0.931 ± 0.0053
Per class
Build CPU time
0.0005
Build memory
3175557943.5556
F measure
0.8675 ± 0.01
Per class
Kappa
0.862 ± 0.0105
KB relative information score
0.8657 ± 0.0103
Mean absolute error
0.0102 ± 0.0008
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8677 ± 0.0096
Per class
Predictive accuracy
0.8674 ± 0.0101
Prior entropy
4.6998 ± 0.0001
Recall
0.8674 ± 0.0101
Per class
Relative absolute error
0.138 ± 0.0106
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.101 ± 0.0039
Root relative squared error
0.5253 ± 0.0203
SciMark benchmark
1481.5839