Run
225140

Run 225140

Task 322 (Supervised Classification) BNG(tic-tac-toe) Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.7513
Per class
Cross-validation details (33% Holdout set)
F measure
0.6917
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3445
Cross-validation details (33% Holdout set)
KB relative information score
-1600.233
Cross-validation details (33% Holdout set)
Mean absolute error
0.4843
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4533
Cross-validation details (33% Holdout set)
Number of instances
12990
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7082
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6855
Cross-validation details (33% Holdout set)
Prior entropy
0.9315
Cross-validation details (33% Holdout set)
Recall
0.6855
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0686
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4761
Cross-validation details (33% Holdout set)
Root mean squared error
0.4854
Cross-validation details (33% Holdout set)
Root relative squared error
1.0196
Cross-validation details (33% Holdout set)
SciMark benchmark
1321.6263
UserCPU time millis
120
Cross-validation details (33% Holdout set)
UserCPU time millis testing
100
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)