DEVELOPMENT... OpenML
Run
187092

Run 187092

Task 3501 (Supervised Classification) white-clover 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
0.6836
Per class
F measure
0.6249
Per class
Kappa
0.2841
KB relative information score
13.6225
Mean absolute error
0.2205
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6446
Per class
Predictive accuracy
0.619
Prior entropy
1.4097
Recall
0.619
Per class
Relative absolute error
0.8104
Root mean prior squared error
0.3647
Root mean squared error
0.3867
Root relative squared error
1.0604
SciMark benchmark
1335.4072
UserCPU time millis
260
UserCPU time millis training
260