DEVELOPMENT... OpenML
Run
187364

Run 187364

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.8597
Per class
F measure
0.8031
Per class
Kappa
0.5975
KB relative information score
137.6243
Mean absolute error
0.2255
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8034
Per class
Predictive accuracy
0.804
Prior entropy
0.9868
Recall
0.804
Per class
Relative absolute error
0.4594
Root mean prior squared error
0.4954
Root mean squared error
0.4014
Root relative squared error
0.8103
SciMark benchmark
1372.2145
UserCPU time millis
210
UserCPU time millis testing
10
UserCPU time millis training
200