DEVELOPMENT... OpenML
Run
186864

Run 186864

Task 1777 (Supervised Classification) breast-cancer 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
0.6643
Per class
F measure
0.6741
Per class
Kappa
0.1876
KB relative information score
288.2189
Mean absolute error
0.3161
Mean prior absolute error
0.4183
Number of instances
1430
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6702
Per class
Predictive accuracy
0.7007
Prior entropy
0.8796
Recall
0.7007
Per class
Relative absolute error
0.7556
Root mean prior squared error
0.457
Root mean squared error
0.48
Root relative squared error
1.0504
SciMark benchmark
1325.942
UserCPU time millis
210
UserCPU time millis training
210