DEVELOPMENT... OpenML
Run
187304

Run 187304

Task 3677 (Supervised Classification) fri_c1_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
0.8523
Per class
F measure
0.8401
Per class
Kappa
0.6804
KB relative information score
57.8917
Mean absolute error
0.2214
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
0.8429
Per class
Predictive accuracy
0.84
Prior entropy
0.9975
Recall
0.84
Per class
Relative absolute error
0.4444
Root mean prior squared error
0.4991
Root mean squared error
0.3849
Root relative squared error
0.7711
SciMark benchmark
1372.2145
UserCPU time millis
50
UserCPU time millis training
50