DEVELOPMENT... OpenML
Run
187239

Run 187239

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.9052
Per class
F measure
0.8478
Per class
Kappa
0.6888
KB relative information score
157.0707
Mean absolute error
0.1898
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8477
Per class
Predictive accuracy
0.848
Prior entropy
0.9852
Recall
0.848
Per class
Relative absolute error
0.3876
Root mean prior squared error
0.4948
Root mean squared error
0.3413
Root relative squared error
0.6899
SciMark benchmark
1372.2145
UserCPU time millis
170
UserCPU time millis training
170