DEVELOPMENT... OpenML
Run
187036

Run 187036

Task 2983 (Supervised Classification) lung-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
0.6999
Per class
F measure
0.5365
Per class
Kappa
0.2794
KB relative information score
109.7154
Mean absolute error
0.3192
Mean prior absolute error
0.4393
Number of instances
320
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5667
Per class
Predictive accuracy
0.525
Prior entropy
1.57
Recall
0.525
Per class
Relative absolute error
0.7265
Root mean prior squared error
0.4684
Root mean squared error
0.5078
Root relative squared error
1.084
SciMark benchmark
1319.5177
UserCPU time millis
310
UserCPU time millis training
310