DEVELOPMENT... OpenML
Run
187354

Run 187354

Task 3727 (Supervised Classification) fri_c4_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
0.8615
Per class
F measure
0.7996
Per class
Kappa
0.5971
KB relative information score
130.2049
Mean absolute error
0.2483
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8001
Per class
Predictive accuracy
0.8
Prior entropy
0.9971
Recall
0.8
Per class
Relative absolute error
0.4986
Root mean prior squared error
0.499
Root mean squared error
0.3966
Root relative squared error
0.7948
SciMark benchmark
1372.2145
UserCPU time millis
120
UserCPU time millis training
120