DEVELOPMENT... OpenML
Run
187027

Run 187027

Task 2930 (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
0.823
Per class
F measure
0.4421
Per class
Kappa
0.4089
KB relative information score
1333.4711
Mean absolute error
0.057
Mean prior absolute error
0.0812
Number of instances
3390
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4287
Per class
Predictive accuracy
0.4794
Prior entropy
3.7542
Recall
0.4794
Per class
Relative absolute error
0.7024
Root mean prior squared error
0.2011
Root mean squared error
0.1779
Root relative squared error
0.8849
SciMark benchmark
1066.7184
UserCPU time millis
710
UserCPU time millis testing
310
UserCPU time millis training
400