DEVELOPMENT... OpenML
Run
187074

Run 187074

Task 3064 (Supervised Classification) aids 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
0.2417
Per class
F measure
0.1716
Per class
Kappa
-0.4857
KB relative information score
-3.6911
Mean absolute error
0.6003
Mean prior absolute error
0.5
Number of instances
16
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.1932
Per class
Predictive accuracy
0.1875
Prior entropy
1
Recall
0.1875
Per class
Relative absolute error
1.2006
Root mean prior squared error
0.5
Root mean squared error
0.6291
Root relative squared error
1.2582
SciMark benchmark
1315.3881
UserCPU time millis
20
UserCPU time millis training
20

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