Run
102882

Run 102882

Task 3599 (Supervised Classification) machine_cpu Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9153
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0005
Cross-validation details (10-fold Crossvalidation)
Build memory
104877081.8756
Cross-validation details (10-fold Crossvalidation)
F measure
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8292
Cross-validation details (10-fold Crossvalidation)
KB relative information score
167.7287
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0712
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3933
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
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
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.933
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8417
Cross-validation details (10-fold Crossvalidation)
Recall
0.933
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1811
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4429
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2575
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5815
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
906.4221