Run
102806

Run 102806

Task 3494 (Supervised Classification) monks-problems-3 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
0.9691
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0002
Cross-validation details (10-fold Crossvalidation)
Build memory
840512440
Cross-validation details (10-fold Crossvalidation)
F measure
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9494
Cross-validation details (10-fold Crossvalidation)
KB relative information score
417.6025
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1435
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4992
Cross-validation details (10-fold Crossvalidation)
Number of instances
554
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
0.9748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9747
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9989
Cross-validation details (10-fold Crossvalidation)
Recall
0.9747
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2874
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4996
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.449
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.1817