DEVELOPMENT... OpenML
Run
187226

Run 187226

Task 3599 (Supervised Classification) machine_cpu 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
0.9573
Per class
F measure
0.9426
Per class
Kappa
0.8536
KB relative information score
160.5616
Mean absolute error
0.092
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9426
Per class
Predictive accuracy
0.9426
Prior entropy
0.8417
Recall
0.9426
Per class
Relative absolute error
0.2339
Root mean prior squared error
0.4429
Root mean squared error
0.2303
Root relative squared error
0.52
SciMark benchmark
1250.8301
UserCPU time millis
60
UserCPU time millis training
60