Run
319022

Run 319022

Task 3057 (Supervised Classification) SPECTF 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
0.9289
Per class
Cross-validation details (33% Holdout set)
F measure
0.9055
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7724
Cross-validation details (33% Holdout set)
KB relative information score
83.9814
Cross-validation details (33% Holdout set)
Mean absolute error
0.1104
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4035
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9081
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9043
Cross-validation details (33% Holdout set)
Prior entropy
0.8464
Cross-validation details (33% Holdout set)
Recall
0.9043
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2736
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4525
Cross-validation details (33% Holdout set)
Root mean squared error
0.3069
Cross-validation details (33% Holdout set)
Root relative squared error
0.6781
Cross-validation details (33% Holdout set)
SciMark benchmark
1384.4422
UserCPU time millis
40
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)