DEVELOPMENT... OpenML
Run
50312

Run 50312

Task 1711 (Learning Curve) mfeat-factors 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_DecisionStump(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.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9534 ± 0.0045
Per class
Build CPU time
0.0001
Build memory
1292549770.6182
F measure
0.8135 ± 0.0205
Per class
Kappa
0.7978 ± 0.0227
KB relative information score
0.4872 ± 0.0094
Mean absolute error
0.1348 ± 0.0015
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
0.8314 ± 0.0193
Per class
Predictive accuracy
0.818 ± 0.0204
Prior entropy
3.3219
Recall
0.818 ± 0.0204
Per class
Relative absolute error
0.7487 ± 0.0082
Root mean prior squared error
0.3
Root mean squared error
0.2448 ± 0.0018
Root relative squared error
0.8161 ± 0.0062
SciMark benchmark
1655.4655