Run
303002

Run 303002

Task 287 (Supervised Classification) ionosphere Uploaded 18-03-2015 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
0.9514
Per class
Cross-validation details (33% Holdout set)
F measure
0.9385
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8616
Cross-validation details (33% Holdout set)
KB relative information score
93.9614
Cross-validation details (33% Holdout set)
Mean absolute error
0.0774
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4549
Cross-validation details (33% Holdout set)
Number of instances
115
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9393
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9391
Cross-validation details (33% Holdout set)
Prior entropy
0.9425
Cross-validation details (33% Holdout set)
Recall
0.9391
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1702
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4739
Cross-validation details (33% Holdout set)
Root mean squared error
0.2368
Cross-validation details (33% Holdout set)
Root relative squared error
0.4998
Cross-validation details (33% Holdout set)
SciMark benchmark
942.9708
UserCPU time millis
100
Cross-validation details (33% Holdout set)
UserCPU time millis testing
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)