DEVELOPMENT... OpenML
Run
187032

Run 187032

Task 2976 (Supervised Classification) meta_all.arff 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
0.6469
Per class
F measure
0.5724
Per class
Kappa
0.2648
KB relative information score
190.8299
Mean absolute error
0.1568
Mean prior absolute error
0.2065
Number of instances
710
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5726
Per class
Predictive accuracy
0.5887
Prior entropy
1.9094
Recall
0.5887
Per class
Relative absolute error
0.7592
Root mean prior squared error
0.317
Root mean squared error
0.3406
Root relative squared error
1.0746
SciMark benchmark
1319.5177
UserCPU time millis
1160
UserCPU time millis testing
20
UserCPU time millis training
1140

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