Run
319016

Run 319016

Task 235 (Supervised Classification) arrhythmia Uploaded 23-03-2015 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
0.813
Per class
Cross-validation details (33% Holdout set)
F measure
0.6687
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5524
Cross-validation details (33% Holdout set)
KB relative information score
82.1765
Cross-validation details (33% Holdout set)
Mean absolute error
0.0376
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0878
Cross-validation details (33% Holdout set)
Number of instances
149
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6628
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7047
Cross-validation details (33% Holdout set)
Prior entropy
2.5222
Cross-validation details (33% Holdout set)
Recall
0.7047
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4283
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.211
Cross-validation details (33% Holdout set)
Root mean squared error
0.1844
Cross-validation details (33% Holdout set)
Root relative squared error
0.874
Cross-validation details (33% Holdout set)
SciMark benchmark
1371.9645
UserCPU time millis
4460
Cross-validation details (33% Holdout set)
UserCPU time millis testing
1680
Cross-validation details (33% Holdout set)
UserCPU time millis training
2780
Cross-validation details (33% Holdout set)