Run
176161

Run 176161

Task 3045 (Supervised Classification) wine Uploaded 21-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8744
Per class
Cross-validation details (33% Holdout set)
F measure
0.843
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7612
Cross-validation details (33% Holdout set)
KB relative information score
44.35
Cross-validation details (33% Holdout set)
Mean absolute error
0.1073
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4356
Cross-validation details (33% Holdout set)
Number of instances
58
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8506
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8448
Cross-validation details (33% Holdout set)
Prior entropy
1.5674
Cross-validation details (33% Holdout set)
Recall
0.8448
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2463
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4648
Cross-validation details (33% Holdout set)
Root mean squared error
0.3197
Cross-validation details (33% Holdout set)
Root relative squared error
0.6878
Cross-validation details (33% Holdout set)
SciMark benchmark
1351.788