Run
102596

Run 102596

Task 27 (Supervised Classification) colic 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
0.7675
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0004
Cross-validation details (10-fold Crossvalidation)
Build memory
998053637.8696
Cross-validation details (10-fold Crossvalidation)
F measure
0.7778
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5247
Cross-validation details (10-fold Crossvalidation)
KB relative information score
185.7364
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2245
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.7787
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7772
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.7772
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4815
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4706
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.975
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4085