Run
241400

Run 241400

Task 4408 (Supervised Classification) fri_c4_500_25 Uploaded 02-03-2015 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
0.5325
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4413
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0684
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-93.1598
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4963
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4908
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5774
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4938
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9867
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4938
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0113
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4954
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5209
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0516
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.4621
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)