DEVELOPMENT... OpenML
Run
53130

Run 53130

Task 1702 (Learning Curve) kr-vs-kp 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
0.9962 ± 0.0049
Per class
Build CPU time
0.9615
Build memory
157903827.4667
F measure
0.9756 ± 0.0192
Per class
Kappa
0.9511 ± 0.0386
KB relative information score
0.8985 ± 0.0886
Mean absolute error
0.056 ± 0.0493
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9757 ± 0.0187
Per class
Predictive accuracy
0.9756 ± 0.0192
Prior entropy
0.9986 ± 0.0002
Recall
0.9756 ± 0.0192
Per class
Relative absolute error
0.1123 ± 0.0987
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1502 ± 0.062
Root relative squared error
0.3007 ± 0.1242
SciMark benchmark
1678.1065

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