DEVELOPMENT... OpenML
Run
155489

Run 155489

Task 1757 (Learning Curve) waveform-5000 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
0.9401 ± 0.0116
Per class
F measure
0.8086 ± 0.0231
Per class
Kappa
0.7136 ± 0.0344
KB relative information score
0.7032 ± 0.0307
Mean absolute error
0.1521 ± 0.0146
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8098 ± 0.0236
Per class
Predictive accuracy
0.809 ± 0.023
Prior entropy
1.5849 ± 0
Recall
0.809 ± 0.023
Per class
Relative absolute error
0.3423 ± 0.0328
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3107 ± 0.0189
Root relative squared error
0.6591 ± 0.04
SciMark benchmark
646.4525
UserCPU time millis
26730
UserCPU time millis testing
390
UserCPU time millis training
26340