Run
50322

Run 50322

Task 1736 (Learning Curve) diabetes Uploaded 06-11-2014 by Jan van Rijn
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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
0.7787 ± 0.0398
Per class
Build CPU time
0.0001
Build memory
2317596295.7
F measure
0.7197 ± 0.0395
Per class
Kappa
0.3733 ± 0.0775
KB relative information score
0.227 ± 0.0602
Mean absolute error
0.3584 ± 0.0227
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7185 ± 0.0393
Per class
Predictive accuracy
0.7266 ± 0.0431
Prior entropy
0.9331 ± 0.0046
Recall
0.7266 ± 0.0431
Per class
Relative absolute error
0.7885 ± 0.0496
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4333 ± 0.0221
Root relative squared error
0.9091 ± 0.0456
SciMark benchmark
1737.9306