DEVELOPMENT... OpenML
Run
187299

Run 187299

Task 3673 (Supervised Classification) fri_c0_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
0.8024
Per class
F measure
0.7235
Per class
Kappa
0.4421
KB relative information score
38.8591
Mean absolute error
0.3104
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
0.7358
Per class
Predictive accuracy
0.73
Prior entropy
0.9931
Recall
0.73
Per class
Relative absolute error
0.627
Root mean prior squared error
0.4975
Root mean squared error
0.4514
Root relative squared error
0.9074
SciMark benchmark
1304.6687
UserCPU time millis
30
UserCPU time millis training
30