DEVELOPMENT... OpenML
Run
186985

Run 186985

Task 2079 (Supervised Classification) eucalyptus 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
0.8179
Per class
F measure
0.5423
Per class
Kappa
0.4128
KB relative information score
333.1312
Mean absolute error
0.1916
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5452
Per class
Predictive accuracy
0.5435
Prior entropy
2.2629
Recall
0.5435
Per class
Relative absolute error
0.6116
Root mean prior squared error
0.3957
Root mean squared error
0.3803
Root relative squared error
0.961
SciMark benchmark
1369.9744
UserCPU time millis
1560
UserCPU time millis testing
30
UserCPU time millis training
1530