Run
280766

Run 280766

Task 4203 (Supervised Classification) pasture 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
0.8761
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7622
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.65
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
239.3636
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1691
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4444
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
0.7617
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7667
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7667
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3804
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3614
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7667
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)