DEVELOPMENT... OpenML
Run
187322

Run 187322

Task 3695 (Supervised Classification) fri_c2_250_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
0.8708
Per class
F measure
0.8991
Per class
Kappa
0.7804
KB relative information score
173.4395
Mean absolute error
0.1521
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8997
Per class
Predictive accuracy
0.9
Prior entropy
0.9468
Recall
0.9
Per class
Relative absolute error
0.3282
Root mean prior squared error
0.4812
Root mean squared error
0.2987
Root relative squared error
0.6209
SciMark benchmark
1372.2145
UserCPU time millis
40
UserCPU time millis training
40

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