Run
220630

Run 220630

Task 4484 (Supervised Classification) fri_c3_100_5 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.FT(1)Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
weka.FT(1)_I15
weka.FT(1)_F0
weka.FT(1)_M15
weka.FT(1)_W0.0

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
0.7059
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7055
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4006
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
370.8975
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3115
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
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
0.7055
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.707
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.707
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6319
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5061
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0197
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.5006
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)