Run
289297

Run 289297

Task 3045 (Supervised Classification) wine Uploaded 15-03-2015 by Joaquin Vanschoren
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Flow

weka.KStar(3)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(3)_B20
weka.KStar(3)_Ma

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
1
Per class
Cross-validation details (33% Holdout set)
F measure
0.9654
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9467
Cross-validation details (33% Holdout set)
KB relative information score
54.3202
Cross-validation details (33% Holdout set)
Mean absolute error
0.026
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4356
Cross-validation details (33% Holdout set)
Number of instances
58
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
0.9676
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9655
Cross-validation details (33% Holdout set)
Prior entropy
1.5674
Cross-validation details (33% Holdout set)
Recall
0.9655
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0597
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4648
Cross-validation details (33% Holdout set)
Root mean squared error
0.1507
Cross-validation details (33% Holdout set)
Root relative squared error
0.3242
Cross-validation details (33% Holdout set)
SciMark benchmark
916.6405
UserCPU time millis
320
Cross-validation details (33% Holdout set)
UserCPU time millis testing
320
Cross-validation details (33% Holdout set)
UserCPU time millis training