DEVELOPMENT... OpenML
Run
186921

Run 186921

Task 1893 (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
0.6726
Per class
F measure
0.7014
Per class
Kappa
0.2605
KB relative information score
546.3155
Mean absolute error
0.3248
Mean prior absolute error
0.4183
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6974
Per class
Predictive accuracy
0.7178
Prior entropy
0.8796
Recall
0.7178
Per class
Relative absolute error
0.7764
Root mean prior squared error
0.457
Root mean squared error
0.4659
Root relative squared error
1.0195
SciMark benchmark
1331.6907
UserCPU time millis
200
UserCPU time millis training
200