DEVELOPMENT... OpenML
Run
187367

Run 187367

Task 3742 (Supervised Classification) fri_c4_100_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
0.7993
Per class
F measure
0.74
Per class
Kappa
0.4781
KB relative information score
42.0119
Mean absolute error
0.2984
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.74
Per class
Predictive accuracy
0.74
Prior entropy
0.9975
Recall
0.74
Per class
Relative absolute error
0.599
Root mean prior squared error
0.4991
Root mean squared error
0.4338
Root relative squared error
0.8692
SciMark benchmark
1250.8301
UserCPU time millis
30
UserCPU time millis training
30