Run
220652

Run 220652

Task 4617 (Supervised Classification) ar5 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
0.8492
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8476
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5692
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
138.226
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1928
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3538
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
360
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
0.8523
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8444
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7897
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8444
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5449
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3625
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8713
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
906.4475
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)