DEVELOPMENT... OpenML
Run
187360

Run 187360

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.8871
Per class
F measure
0.84
Per class
Kappa
0.6785
KB relative information score
302.7962
Mean absolute error
0.2068
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.84
Per class
Predictive accuracy
0.84
Prior entropy
0.9967
Recall
0.84
Per class
Relative absolute error
0.4156
Root mean prior squared error
0.4988
Root mean squared error
0.358
Root relative squared error
0.7177
SciMark benchmark
1350.9691
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60