DEVELOPMENT... OpenML
Run
187351

Run 187351

Task 3724 (Supervised Classification) vinnie 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
0.8929
Per class
F measure
0.8473
Per class
Kappa
0.6943
KB relative information score
210.7659
Mean absolute error
0.2366
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8476
Per class
Predictive accuracy
0.8474
Prior entropy
0.9995
Recall
0.8474
Per class
Relative absolute error
0.4734
Root mean prior squared error
0.4998
Root mean squared error
0.3435
Root relative squared error
0.6873
SciMark benchmark
1372.2145
UserCPU time millis
10
UserCPU time millis training
10