DEVELOPMENT... OpenML
Run
186971

Run 186971

Task 2065 (Supervised Classification) primary-tumor 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
0.836
Per class
F measure
0.4664
Per class
Kappa
0.4408
KB relative information score
137.2529
Mean absolute error
0.0565
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4457
Per class
Predictive accuracy
0.5074
Prior entropy
3.7542
Recall
0.5074
Per class
Relative absolute error
0.6954
Root mean prior squared error
0.2011
Root mean squared error
0.1746
Root relative squared error
0.8684
SciMark benchmark
1072.3689
UserCPU time millis
720
UserCPU time millis testing
320
UserCPU time millis training
400