DEVELOPMENT... OpenML
Run
50516

Run 50516

Task 1735 (Learning Curve) segment Uploaded 06-11-2014 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
0.9765 ± 0.0065
Per class
Build CPU time
0.0001
Build memory
167392399.6667
F measure
0.9598 ± 0.0111
Per class
Kappa
0.953 ± 0.0131
KB relative information score
0.9566 ± 0.0121
Mean absolute error
0.0115 ± 0.0032
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9599 ± 0.0113
Per class
Predictive accuracy
0.9597 ± 0.0112
Prior entropy
2.8074
Recall
0.9597 ± 0.0112
Per class
Relative absolute error
0.047 ± 0.0131
Root mean prior squared error
0.3499
Root mean squared error
0.1073 ± 0.0146
Root relative squared error
0.3065 ± 0.0418
SciMark benchmark
1633.1623