DEVELOPMENT... OpenML
Run
187352

Run 187352

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.6841
Per class
F measure
0.6418
Per class
Kappa
0.2837
KB relative information score
21.1224
Mean absolute error
0.3833
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6442
Per class
Predictive accuracy
0.6437
Prior entropy
0.9992
Recall
0.6437
Per class
Relative absolute error
0.7675
Root mean prior squared error
0.4997
Root mean squared error
0.5056
Root relative squared error
1.0118
SciMark benchmark
1250.8301
UserCPU time millis
40
UserCPU time millis training
40