Run
338476

Run 338476

Task 3044 (Supervised Classification) hypothyroid Uploaded 27-03-2015 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
0.8734
Per class
Cross-validation details (33% Holdout set)
F measure
0.9629
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7526
Cross-validation details (33% Holdout set)
KB relative information score
827.4737
Cross-validation details (33% Holdout set)
Mean absolute error
0.0195
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0736
Cross-validation details (33% Holdout set)
Number of instances
1244
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9638
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.963
Cross-validation details (33% Holdout set)
Prior entropy
0.4715
Cross-validation details (33% Holdout set)
Recall
0.963
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2648
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1923
Cross-validation details (33% Holdout set)
Root mean squared error
0.1321
Cross-validation details (33% Holdout set)
Root relative squared error
0.6872
Cross-validation details (33% Holdout set)
SciMark benchmark
1336.0954
UserCPU time millis
570
Cross-validation details (33% Holdout set)
UserCPU time millis testing
90
Cross-validation details (33% Holdout set)
UserCPU time millis training
480
Cross-validation details (33% Holdout set)