DEVELOPMENT... OpenML
Run
187260

Run 187260

Task 3634 (Supervised Classification) fri_c3_100_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
0.7824
Per class
F measure
0.7682
Per class
Kappa
0.5306
KB relative information score
41.2381
Mean absolute error
0.3023
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7704
Per class
Predictive accuracy
0.77
Prior entropy
0.9931
Recall
0.77
Per class
Relative absolute error
0.6107
Root mean prior squared error
0.4975
Root mean squared error
0.4353
Root relative squared error
0.8749
SciMark benchmark
1372.2145
UserCPU time millis
80
UserCPU time millis training
80