Run
225209

Run 225209

Task 2111 (Supervised Classification) primary-tumor 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
0.8239
Per class
Cross-validation details (33% Holdout set)
F measure
0.3212
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2578
Cross-validation details (33% Holdout set)
KB relative information score
6.1578
Cross-validation details (33% Holdout set)
Mean absolute error
0.0851
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0811
Cross-validation details (33% Holdout set)
Number of instances
111
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
0.5418
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.2973
Cross-validation details (33% Holdout set)
Prior entropy
3.7542
Cross-validation details (33% Holdout set)
Recall
0.2973
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.0485
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2009
Cross-validation details (33% Holdout set)
Root mean squared error
0.2052
Cross-validation details (33% Holdout set)
Root relative squared error
1.0214
Cross-validation details (33% Holdout set)
SciMark benchmark
929.0363