DEVELOPMENT... OpenML
Run
54904

Run 54904

Task 1701 (Learning Curve) anneal Uploaded 10-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.NBTree(2)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.

21 Evaluation measures

Area under ROC curve
0.9894 ± 0.0073
Per class
Build CPU time
0.5756
Build memory
216088412.1778
F measure
0.9661 ± 0.0202
Per class
Kappa
0.9152 ± 0.0464
KB relative information score
0.848 ± 0.0428
Mean absolute error
0.0264 ± 0.0051
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9663 ± 0.0182
Per class
Predictive accuracy
0.9666 ± 0.0173
Prior entropy
1.1915 ± 0.026
Recall
0.9666 ± 0.0173
Per class
Relative absolute error
0.1964 ± 0.0369
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1045 ± 0.0193
Root relative squared error
0.4046 ± 0.0735
SciMark benchmark
1663.9124