Run
280716

Run 280716

Task 3763 (Supervised Classification) chscase_census6 Uploaded 08-03-2015 by Joaquin Vanschoren
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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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4348
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.9977
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4125
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4848
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5875
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.978
Cross-validation details (10-fold Crossvalidation)
Recall
0.5875
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8509
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3047
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
854.5188
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)