Run
225153

Run 225153

Task 1800 (Supervised Classification) segment Uploaded 01-03-2015 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.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
0.9677
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7447
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.7374
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
5960.6027
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1543
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
11550
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
0.7934
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7749
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7749
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6302
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2532
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7236
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1339.4189
UserCPU time millis
30
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (5 times 2-fold Crossvalidation)