Run
103144

Run 103144

Task 3898 (Supervised Classification) kc1-top5 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
0.6656
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
112472330.5931
Cross-validation details (10-fold Crossvalidation)
F measure
0.9464
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4377
Cross-validation details (10-fold Crossvalidation)
KB relative information score
43.5917
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0549
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1096
Cross-validation details (10-fold Crossvalidation)
Number of instances
145
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9442
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9517
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3323
Cross-validation details (10-fold Crossvalidation)
Recall
0.9517
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5009
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2284
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2182
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9553
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.1859