DEVELOPMENT... OpenML
Run
186818

Run 186818

Task 256 (Supervised Classification) nursery 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
0.996
Per class
F measure
0.9639
Per class
Kappa
0.9481
KB relative information score
3949.8542
Mean absolute error
0.0246
Mean prior absolute error
0.273
Number of instances
4276
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9646
Per class
Predictive accuracy
0.9647
Prior entropy
1.7176
Recall
0.9647
Per class
Relative absolute error
0.0902
Root mean prior squared error
0.3694
Root mean squared error
0.1092
Root relative squared error
0.2957
SciMark benchmark
1346.9602
UserCPU time millis
4950
UserCPU time millis testing
350
UserCPU time millis training
4600