DEVELOPMENT... OpenML
Run
155371

Run 155371

Task 1735 (Learning Curve) segment Uploaded 11-02-2015 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
0.9859 ± 0.0062
Per class
F measure
0.9444 ± 0.015
Per class
Kappa
0.9354 ± 0.0175
KB relative information score
0.9127 ± 0.0129
Mean absolute error
0.0297 ± 0.0028
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9446 ± 0.015
Per class
Predictive accuracy
0.9446 ± 0.015
Prior entropy
2.8074
Recall
0.9446 ± 0.015
Per class
Relative absolute error
0.1213 ± 0.0114
Root mean prior squared error
0.3499
Root mean squared error
0.1178 ± 0.0155
Root relative squared error
0.3368 ± 0.0443
SciMark benchmark
646.4525
UserCPU time millis
14090
UserCPU time millis testing
450
UserCPU time millis training
13640