DEVELOPMENT... OpenML
Run
187255

Run 187255

Task 3629 (Supervised Classification) fri_c0_250_10 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
0.8582
Per class
F measure
0.832
Per class
Kappa
0.664
KB relative information score
125.4577
Mean absolute error
0.2656
Mean prior absolute error
0.5
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.832
Per class
Predictive accuracy
0.832
Prior entropy
1
Recall
0.832
Per class
Relative absolute error
0.5313
Root mean prior squared error
0.5
Root mean squared error
0.3791
Root relative squared error
0.7582
SciMark benchmark
1372.2145
UserCPU time millis
50
UserCPU time millis training
50