DEVELOPMENT... OpenML
Run
154925

Run 154925

Task 1714 (Learning Curve) breast-w Uploaded 10-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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.

22 Evaluation measures

Area under ROC curve
0.9772 ± 0.0149
Per class
F measure
0.963 ± 0.0212
Per class
Kappa
0.9185 ± 0.046
KB relative information score
0.9005 ± 0.0463
Mean absolute error
0.0458 ± 0.0199
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9636 ± 0.0196
Per class
Predictive accuracy
0.9628 ± 0.0215
Prior entropy
0.9293 ± 0.0043
Recall
0.9628 ± 0.0215
Per class
Relative absolute error
0.1014 ± 0.0442
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1824 ± 0.0514
Root relative squared error
0.3837 ± 0.1084
SciMark benchmark
646.4525
UserCPU time millis
520
UserCPU time millis training
520

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