DEVELOPMENT... OpenML
Run
187336

Run 187336

Task 3709 (Supervised Classification) breastTumor 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
0.6688
Per class
F measure
0.6175
Per class
Kappa
0.2229
KB relative information score
44.3444
Mean absolute error
0.4152
Mean prior absolute error
0.4872
Number of instances
286
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6226
Per class
Predictive accuracy
0.6154
Prior entropy
0.9815
Recall
0.6154
Per class
Relative absolute error
0.8524
Root mean prior squared error
0.4935
Root mean squared error
0.4911
Root relative squared error
0.9952
SciMark benchmark
1372.2145
UserCPU time millis
30
UserCPU time millis training
30