DEVELOPMENT... OpenML
Run
53131

Run 53131

Task 1710 (Learning Curve) balance-scale Uploaded 07-11-2014 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
0.8455 ± 0.0308
Per class
Build CPU time
0.0339
Build memory
194358288.3
F measure
0.7355 ± 0.0146
Per class
Kappa
0.5653 ± 0.0521
KB relative information score
0.4103 ± 0.0481
Mean absolute error
0.2324 ± 0.0168
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7084 ± 0.0209
Per class
Predictive accuracy
0.7648 ± 0.0278
Prior entropy
1.3181 ± 0.0124
Recall
0.7648 ± 0.0278
Per class
Relative absolute error
0.612 ± 0.0437
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3461 ± 0.0193
Root relative squared error
0.7945 ± 0.0434
SciMark benchmark
1678.1065