Run
102627

Run 102627

Task 232 (Supervised Classification) anneal Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.9201
Per class
Cross-validation details (33% Holdout set)
Build memory
148299816
Cross-validation details (33% Holdout set)
F measure
0.9483
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8818
Cross-validation details (33% Holdout set)
KB relative information score
274.9437
Cross-validation details (33% Holdout set)
Mean absolute error
0.0199
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.141
Cross-validation details (33% Holdout set)
Number of instances
296
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
0.9483
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9493
Cross-validation details (33% Holdout set)
Prior entropy
1.2149
Cross-validation details (33% Holdout set)
Recall
0.9493
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1414
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2709
Cross-validation details (33% Holdout set)
Root mean squared error
0.1305
Cross-validation details (33% Holdout set)
Root relative squared error
0.4817
Cross-validation details (33% Holdout set)
SciMark benchmark
875.7999