DEVELOPMENT... OpenML
Run
186854

Run 186854

Task 288 (Supervised Classification) waveform-5000 Uploaded 25-02-2015 by Felicia West
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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
0.915
Per class
F measure
0.7694
Per class
Kappa
0.6546
KB relative information score
1070.8709
Mean absolute error
0.1777
Mean prior absolute error
0.4444
Number of instances
1650
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7697
Per class
Predictive accuracy
0.7697
Prior entropy
1.5849
Recall
0.7697
Per class
Relative absolute error
0.3998
Root mean prior squared error
0.4714
Root mean squared error
0.3416
Root relative squared error
0.7247
SciMark benchmark
1319.5177
UserCPU time millis
14550
UserCPU time millis testing
220
UserCPU time millis training
14330