Run
177077

Run 177077

Task 4518 (Supervised Classification) arsenic-female-lung Uploaded 22-02-2015 by Jan van Rijn
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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
0.5087
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9516
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0574
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
69.1602
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0641
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.0672
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9568
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9665
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.222
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9665
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9537
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.1812
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1799
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9928
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.0803
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)