DEVELOPMENT... OpenML
Run
187071

Run 187071

Task 3060 (Supervised Classification) squash-stored 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
0.7753
Per class
F measure
0.4485
Per class
Kappa
0.1156
KB relative information score
5.3443
Mean absolute error
0.3129
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4412
Per class
Predictive accuracy
0.4706
Prior entropy
1.4782
Recall
0.4706
Per class
Relative absolute error
0.7513
Root mean prior squared error
0.4569
Root mean squared error
0.5151
Root relative squared error
1.1272
SciMark benchmark
1315.3881
UserCPU time millis
160
UserCPU time millis training
160