Run
175964

Run 175964

Task 1774 (Supervised Classification) lymph Uploaded 21-02-2015 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
0.7641
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.743
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5205
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
342.3798
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1451
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7396
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7473
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7473
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.542
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.3395
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9327
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1384.4418
UserCPU time millis
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (5 times 2-fold Crossvalidation)