DEVELOPMENT... OpenML
Run
187067

Run 187067

Task 3057 (Supervised Classification) SPECTF 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
0.7356
Per class
F measure
0.7543
Per class
Kappa
0.4205
KB relative information score
29.9228
Mean absolute error
0.2867
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7663
Per class
Predictive accuracy
0.7478
Prior entropy
0.8464
Recall
0.7478
Per class
Relative absolute error
0.7105
Root mean prior squared error
0.4525
Root mean squared error
0.4845
Root relative squared error
1.0707
SciMark benchmark
1315.3881
UserCPU time millis
2100
UserCPU time millis testing
10
UserCPU time millis training
2090