Run
400505

Run 400505

Task 4609 (Supervised Classification) jm1 Uploaded 17-04-2015 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
0.5707
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7656
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1686
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
22034.0114
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2191
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3121
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
108850
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
0.768
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8091
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7088
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8091
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.702
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.395
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4169
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0553
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.7585
UserCPU time millis
2830
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
270
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
2560
Cross-validation details (10 times 10-fold Crossvalidation)