DEVELOPMENT... OpenML
Run
155338

Run 155338

Task 1713 (Learning Curve) mfeat-fourier Uploaded 10-02-2015 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
0.9015 ± 0.0152
Per class
F measure
0.6971 ± 0.0383
Per class
Kappa
0.6622 ± 0.04
KB relative information score
0.6569 ± 0.0346
Mean absolute error
0.0744 ± 0.0064
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7009 ± 0.0374
Per class
Predictive accuracy
0.696 ± 0.036
Prior entropy
3.3219
Recall
0.696 ± 0.036
Per class
Relative absolute error
0.4135 ± 0.0354
Root mean prior squared error
0.3
Root mean squared error
0.2178 ± 0.012
Root relative squared error
0.7262 ± 0.0401
SciMark benchmark
642.8724
UserCPU time millis
351780
UserCPU time millis testing
2930
UserCPU time millis training
348850