DEVELOPMENT... OpenML
Run
187473

Run 187473

Task 3808 (Supervised Classification) kidney 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
0.7264
Per class
F measure
0.6581
Per class
Kappa
0.3158
KB relative information score
21.9214
Mean absolute error
0.3595
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6593
Per class
Predictive accuracy
0.6579
Prior entropy
0.9981
Recall
0.6579
Per class
Relative absolute error
0.7209
Root mean prior squared error
0.4993
Root mean squared error
0.4934
Root relative squared error
0.9882
SciMark benchmark
940.2481
UserCPU time millis
250
UserCPU time millis training
250