Run
225158

Run 225158

Task 1818 (Supervised Classification) hepatitis Uploaded 01-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.8459
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8453
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5523
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
-234.9229
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3389
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.3299
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
775
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8577
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8387
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.7418
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8387
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
1.0275
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4048
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.42
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.0377
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
876.0664