DEVELOPMENT... OpenML
Run
155348

Run 155348

Task 1721 (Learning Curve) mfeat-zernike 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
0.8947 ± 0.0116
Per class
F measure
0.6591 ± 0.0257
Per class
Kappa
0.6167 ± 0.0289
KB relative information score
0.6393 ± 0.0217
Mean absolute error
0.0782 ± 0.0035
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
0.6642 ± 0.0269
Per class
Predictive accuracy
0.655 ± 0.026
Prior entropy
3.3219
Recall
0.655 ± 0.026
Per class
Relative absolute error
0.4346 ± 0.0194
Root mean prior squared error
0.3
Root mean squared error
0.2309 ± 0.0067
Root relative squared error
0.7698 ± 0.0222
SciMark benchmark
642.8724
UserCPU time millis
132930
UserCPU time millis testing
1910
UserCPU time millis training
131020