Run
175947

Run 175947

Task 284 (Supervised Classification) hepatitis 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
0.6549
Per class
Cross-validation details (33% Holdout set)
F measure
0.7333
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2738
Cross-validation details (33% Holdout set)
KB relative information score
8.5316
Cross-validation details (33% Holdout set)
Mean absolute error
0.2802
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7272
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7451
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.7451
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7827
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.4789
Cross-validation details (33% Holdout set)
Root relative squared error
1.0931
Cross-validation details (33% Holdout set)
SciMark benchmark
1466.6185